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Description: About Weyerhaeuser At Weyerhaeuser, we are the world’s premier timberland, and forest products company. Sustainability is the founding concept of our business, and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability – we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 125 years, our Weyerhaeuser team has been making a difference in the world – from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That’s the Weyerhaeuser way. About the Role Grasp the opportunity to apply data science to the physical world of manufacturing! We are seeking an experienced Principal Data Scientist to provide technical leadership and passionate about applying machine learning, statistics, experimentation, and optimization techniques to solve complex business problems across manufacturing, operations reliability, supply chain, and product quality domains. We have a large manufacturing presence in North America with lumber, OSB, plywood, and engineered lumber products mills in Canada and the United States. Our Weyerhaeuser brand and scale of operations make us a major player in the wood products business. You would be partnering with our manufacturing mills to identify, analyze, and solve complex problems related to production quality, equipment reliability, and preventative maintenance. Your work would directly impact operational efficiency, improved product quality, and mill uptime. This role is responsible for shaping AI and ML strategy, defining reusable machine learning capabilities, leading complex experimentation, and delivering scalable solutions that create measurable business value. You have a high attention to detail, but are good at seeing the big picture, and aren’t afraid to think outside the box, and champion your ideas. You have experience articulating opportunity, as well as creating and successfully managing projects. You are effective at communicating timely and relevant information to business leaders and internal partners. Responsibilities Lead the design of scalable solutions across multiple business domains. Establish reusable patterns, standards, and best practices for model development and deployment. Lead and develop advanced machine learning, optimization, forecasting, generative AI, and decision intelligence solutions. Define success metrics that balance model performance with business outcomes including revenue growth, operational efficiency, customer experience, safety, and risk reduction. Partner with Product Managers and Operation teams to identify, prioritize, and frame business opportunities that can be solved with scientific framework. Influence technical direction across multiple programs without direct authority. Design, execute, and analyze online and offline experiments, including A/B testing, causal inference, and counterfactual analysis, to evaluate the impact of data science solutions on business outcomes. Design, develop, and evaluate machine learning and deep learning models to solve forecasting, optimization, reliability, anomaly detection, and decision-support problems. Design and implement statistical process control methods and anomaly detection techniques to proactively address quality issues in the manufacturing process. Own the end-to-end model lifecycle, including feature engineering, training, validation, deployment, monitoring, retraining, and continuous improvement. Establish standards for feature stores, model registries, inference services, observability, and governance. Collaborate with software engineers, ML engineers, and data engineers to productionize models and integrate AI capabilities into business workflows. Demonstrate the ability to apply data science and machine learning techniques across multiple domains (e.g., manufacturing, supply chain, pricing, logistics), abstracting core patterns, and adapting solutions to new problem spaces. Translate ambiguous business problems into scientific approaches and influence stakeholders through data-driven recommendations. Develop analytical visualizations and communicate findings through dashboards, notebooks, and presentations that drive business decisions. Mentor junior team members and contribute to data science standards, reusable patterns, and best practices. Qualifications: 10+ years of experience developing and deploying machine learning and AI solutions. Strong software engineering skills in Python and modern ML frameworks. Deep expertise in supervised learing, forecasting, optimization, statistical modeling, anomaly detection, model evaluation and experimentation methodologies. Demonstrated success delivering enterprise-scale AI products from concept through production. Experience leading highly ambiguous technical initiatives. Proven ability to influence technical strategy across multiple teams and organizations. Experience with experimentation and causal inference methods, including A/B testing, quasi-experimental designs, and counterfactual analysis. Experience communicating insights using Power BI or Python-based visualization libraries such as Plotly and Matplotlib. Experience with modern cloud platforms and data architectures, including AWS, Azure, Snowflake, and MLOps, CI/CD, and model lifecycle management. Preferred, not required: Practical experience with Recommendation Systems, Pricing Optimization, and Computer Vision Practical experience in Forestry Services or Wood Product manufacturing Experience with Industrial Internet of Things and time-series manufacturing data Education PhD in Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or related quantitative discipline; or Master’s degree with equivalent industry experience. What We Offer: Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $131,082-196,766 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 15% of base pay. Potential plan funding may range from zero to two times that target. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company’s 401k plan, which includes a paid company match in addition to our contribution equal to 5% of your eligible pay. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team. #salary

Job Description Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. Now, we're growing! The Role We are looking for a Staff Research Scientist to join Cognitiv's New Initiatives team — the group responsible for turning emerging AI research into entirely new product lines. This team built AudienceGPT, ContextGPT (now in its second generation), AI Personas, and the user embedding systems underneath all of them. Work coming out of this team regularly becomes a company product announcement. This is not a conventional research role. It sits at the intersection of deep technical research, product intuition, and industry foresight. You won't be handed a well-scoped problem — you'll need to spot the opportunity, prove it out technically, and carry it from idea to shipped product. We're looking for someone who thinks like a builder and a product person as much as a researcher: someone who knows the AdTech and LLM landscape well enough to see where it's headed, and can generate, prototype, and validate ideas most people wouldn't think to try. Location: This position is based in either our Bellevue WA office or San Mateo, CA office with a hybrid schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thu/Fri). What You'll Do • Generate Product Ideas. Track the AdTech, programmatic, and LLM landscape closely enough to spot real product opportunities before they're obvious — then make the case for them., • Prototype Fast. Turn a raw idea into a working proof of concept quickly, using LLMs, embeddings, and applied deep learning to test whether it actually holds up., • Own It End to End. Take validated ideas from research prototype through to production-ready systems, working closely with engineering to ship them — not just hand off a paper or a notebook., • Push Context, Persona, and Embedding Research Forward. Extend the modeling that powers AudienceGPT, ContextGPT, and AI Personas, and explore what the next generation of these systems should be., • Shape the Story. Partner with product and marketing to translate technical work into the narrative behind a launch — this team's output regularly becomes a public product announcement., • Stay Ahead of the Industry. Maintain a deep, current understanding of AdTech, real-time bidding, and where LLM-driven advertising products are going, and bring that thinking back into the roadmap., • Collaborate Cross-Functionally. Work closely with research, engineering, product, and executive stakeholders to pressure-test ideas and get them to market.Who You Are, • Product-Minded Researcher: Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with 7+ years of experience in ML R&D or applied ML — paired with genuine curiosity about product and a bias toward shipping., • AdTech Industry Fluency: Deep understanding of the AdTech, programmatic advertising, and RTB landscape — not just where it is today, but where it's headed next., • Idea Generator: A track record of originating ideas, not just executing on someone else's spec. Comfortable operating with little direction and turning ambiguity into a concrete plan., • A Shipped 0-to-1 Product. Experience taking a product from idea to launch, in a startup, incubator, or new-initiatives-style team., • Deep Learning & LLM Expertise: Strong technical expertise in PyTorch, transformers, and LLMs, including large-scale training, fine-tuning, and optimization., • Engineering Excellence: Strong Python fundamentals and software engineering practice; experience building models for real-time, high-throughput systems., • Communicator & Storyteller: Able to explain technical work clearly to non-technical audiences — this team's work often becomes the centerpiece of a public product announcement., • Bias to Action & Initiative: Proactively identifies problems and opportunities and takes ownership without waiting to be told, • Collaborative: Strong written and verbal communication skills, comfortable working across research, engineering, and product in a fast-paced environment.Bonus Points If You Have, • Public Technical Voice. Experience being the technical face of a launch — blog posts, talks, demos, or press., • Research & Community Impact. A track record of published research or meaningful contributions to the ML community. Salary: • Bellevue: $200,000 - $270,000 USD Base Salary + Equity, • San Mateo: $220,000 - $300,000 USD Base Salary + Equity What We Offer Compensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package. Highlights include: • Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees, • 12 weeks paid parental leave + 4 weeks WFH, • Unlimited PTO + Work-From-Anywhere August, • Career development with clear advancement paths, • Equity for all employees, • Hybrid work model & daily team lunch, • Health & wellness stipend + cell phone reimbursement, • 401(k) & RRSP with employer match, • Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits, • Employee Assistance Program, • Comprehensive onboarding (Cognitiv University), • …and more! What You'll Find at Cognitiv, • Festiv – We make work fun with cross-team games, events, and creative team bonding., • Responsiv – You'll be close to clients and leadership, influencing real outcomes., • Inclusiv – Diversity and individuality are celebrated across all levels., • Inventiv – We reward curiosity and embrace bold ideas., • Transformativ – We support your growth with training, mentorship, and flexibility., • Collaborativ – We operate across coasts, connected by purpose and teamwork. Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all. Note on AI Use: Cognitiv may use AI technology to assist with certain administrative aspects of the hiring process, such as note-taking, interview documentation, and reporting. However, every resume and application is reviewed directly by our recruiting team. AI tools are used solely for operational support and do not influence candidate evaluation or hiring decisions.

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always., • Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: As a Senior Staff Data Scientist at SmithRx, you'll play a pivotal role on a high-impact Data team, leading through technical excellence, mentoring emerging talent, and delivering insights that accelerate our mission to make healthcare more affordable & accessible. You'll have a genuine opportunity to shape our product, business, and people, and reinforce our position as the market leader in the Modern PBM revolution. If you're a hands-on problem-solver eager to make a tangible difference in a high-growth health tech environment, come join us at SmithRx! What you will do: As a Senior Staff Data Scientist, you will: • Establish Data-Driven Business Command, • Partner with technical and business leaders to design key metrics, dashboards, and AI-enabled data products that are widely-adopted and influence cross-functional strategic direction and multi-year roadmaps, • Establish hypothesis-driven decision-making as the default operating mode across partner teams through statistically rigorous experimentation, • Tackle undefined, open-ended problems by defining both the "what" and "how" and conducting rigorous analyses that drive meaningful product and business impact, • Transform complex findings into compelling narratives that provide strategic clarity and influence broader organizational direction, • Champion Trustworthy Data, • Collaborate closely with Data Engineers to influence the design, development, and maintenance of dimensional data models, ensuring data is complete, accurate, and reliably delivered, • Champion world-class data governance practices, continuously raising the bar for data & code quality across technical teams, • Amplify Organizational Impact, • Partner with stakeholders to align roadmaps with business priorities, anticipating emerging needs before they are formally requested and driving positive outcomes in high-stakes contexts, • Operate as a force multiplier whose influence fosters growth across partner teams, providing incisive technical mentorship, inspiring intellectual curiosity, and driving clarity amidst ambiguity What you will bring to SmithRx: • Bachelor's degree in a quantitative field (e.g. mathematics, statistics), • Master's or Ph.D. degree is preferred, • 12+ years of hands-on experience influencing product and business decision-making through experimentation and advanced analytics, • Healthcare and/or pharmacy experience is preferred, • Advanced technical proficiency, including deep experience:, • Leveraging SQL & dbt to query, transform, and validate complex data sets, • Leveraging scripting languages (e.g. Python) and statistical/mathematical software (e.g. R) for advanced statistical modeling, • Collaborating with Data & Analytics Engineers to architect robust data models and institute world-class data quality guardrails, • A self-starter mentality, proactively identifying novel ways to drive impact, devising creative solutions to complex challenges, and independently delivering on commitments, • Excellent communication and storytelling skills, seamlessly adapting between business and technical audiences, • Proven leadership prowess, including the ability to drive clarity by articulating a compelling vision and bring people along with you What SmithRx Offers You: • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations, • Professional development and training opportunities Location: US - Remote Zone A includes the following locations: • San Francisco Bay Area - California, • Metro New York City - Connecticut, New Jersey, New York and Pennsylvania Zone A Pay Range $224,400—$264,000 USD Zone B includes the following locations: • California - outside of San Francisco Bay Area, • Metro Denver / Boulder - Colorado, • Metro District of Columbia - District of Columbia, Maryland, Virginia and West Virginia, • Metro Boston / Cambridge - Massachusetts and New Hampshire, • Metro Austin - Texas, • Metro Seattle - Washington Zone B Pay Range $205,700—$242,000 USD Zone C includes all other locations not listed above, including: • Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Rhode Island, South Carolina, South Dakota, Tennessee, Utah, Vermont, Wisconsin, Wyoming, • Non metro Colorado, Connecticut, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Texas, Virginia, Washington, and West Virginia Zone C Pay Range $187,000—$220,000 USD Compensation & Benefits • Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience., • Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.

Job Description Scientist I – Computation through Dynamics The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health. The goal of the Neural Dynamics accelerator is to understand how the brain generates flexible behavior. We aim to uncover the algorithms—implemented by dynamics in brain-wide neural circuits—that allow animals to build internal models, process information, and choose actions. We are searching for a Scientist to lead the analysis of large-scale neural population recordings collected during flexible decision-making tasks. These datasets include spike trains from thousands of neurons recorded simultaneously across multiple brain regions, providing a unique opportunity to uncover how distributed neural circuits support adaptive behavior. The ideal candidate will be team-oriented, have deep knowledge in neuroscience and statistics, and be excited to work at the interface of large-scale physiology, behavior, and theory. This position will require good communication with experimentalists leveraging state-of-the-art behavioral, computational, electrophysiological, and imaging methods, as well as molecular and transgenic resources. The goal is to make fundamental discoveries about multi-regional neural computation for continuous learning and flexible behaviors, and to generate insights that inform downstream computational modeling work and new experiments. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. This position is full-time and of a limited duration, with an expected end date of February 1, 2030. Essential Functions • Build and deploy reproducible analysis pipelines for large scale neural and behavioral datasets, • Apply statistical approaches to extract structure from high-dimensional neural activity, • Develop quantitative models and analyses of behavior and neural measurements, • Collaborate internally and externally to develop theory guided hypotheses for neural computation, • Present results internally, via talks and progress reports, and to the external community, via conferences and publications, • Engage deeply with current literature, including ~quarterly presentations in the theory journal club Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Education and Experience • PhD in neuroscience, statistics, computer science, physics or related field; or equivalent combination of degree and experience, • Demonstrated proficiency in conducting collaborative, multidisciplinary research, • Strong understanding of statistics and data science, • Ability to write reusable code in Python Preferred Education and Experience • Experience with cloud computing infrastructure, • Excellent written and verbal communication skills, • Strong publication record Physical Demands • Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment Position Type/Expected Hours of Work • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State., • This position is full-time and of a limited duration, with an expected end date of February 1, 2030. Travel • Attendance and participation in national and international conferences required Additional Comments • Please note, this opportunity offers relocation assistance, • Please note, this opportunity may offer work visa sponsorship Annualized Salary Range • $86,150 - $106,650 *, • Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable. Benefits • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

Job Description Scientist I – Brain Proteome Organization The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health. The goal of the Brain Science accelerator is to produce three interlocking resources: cell type atlases that catalog every kind of brain cell across ages and species, connectomes that chart the brain's intricate wiring, and a knowledge platform that knits it all together with powerful analysis tools. Every dataset is freely shared, so discoveries made here fuel discoveries everywhere. We are seeking a Scientist I to join a research team focused on understanding how the proteome of neuronal populations and their synapses shapes brain circuit function. The team develops scalable synapse proteomics and systems-level analysis to understand how the proteome and protein interactions determine synapse-type specific physiology and circuit connectivity. The candidate will focus on developing and applying scalable approaches for synapse proteomics to reveal principles of synaptic molecular organization. In addition to working within the research team, the candidate will collaborate closely with teams and core facilities across the Allen Institute that support large-scale experimental and computational neuroscience. We welcome candidates from diverse scientific backgrounds, who may bring their own questions and expertise into the field. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Essential Functions • Lead projects focused on understanding proteome organization across neuronal populations and synapse types in the brain, • Design and perform scalable synapse type-specific proteomics experiments, • Develop and apply next-generation workflows for synapse isolation and proteomic analysis, • Analyze and integrate large-scale proteomic datasets with multimodal structural and functional data, • Coordinate with internal teams and core facilities to acquire and process experimental data, • Develop and improve computational and statistical strategies for data production and processing, • Monitor and manage data acquisition, storage and deposition, • Publish and present findings in peer-reviewed journals and scientific conferences, • Execute collaborative projects within the team, across teams, and/or with external collaborators Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Education and Experience • Ph.D. in STEM (i.e. Neuroscience, Biology, or related field); or equivalent combination of degree and experience, • Proven strong publication record, • Experimental experience in lab-based research and molecular methods, • Experience in R and/or python Preferred Education and Experience • Experience in mass spectrometry-based proteomic workflows, • Experience with large-scale biological datasets and statistical analysis, • Broad understanding of the principles of the nervous system across scales from molecules to circuits, • Ability to work independently and within a collaborative, multi-disciplinary environment, • Positive attitude, self-starter, demonstrated attention to detail, and ability to troubleshoot Work Environment • Exposure to and handling of laboratory animals, • Laboratory environment - possible chemical, biological, or other hazardous substances exposure, • Possible exposure to BioSafety Level 2 organisms, such as recombinant viruses Position Type/Expected Hours of Work • Occasional evening and weekend hours required, • This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis Travel • Occasional travel to partner sites for compliance oversight required, • Attendance and participation in national and international conferences required Additional Eligibility Qualifications • All employees who work with live animals must complete an Occupational Health medical history form and/or consultation with an Occupational Health Provider and receive clearance to work with animals. Depending on your health history and job responsibilities, an annual respiratory health screening and clearance to use a respirator may also be required Additional Comments • Please note, this opportunity offers relocation assistance, • Please note, this opportunity may offer work visa sponsorship Annualized Salary Range $86,150 - $106,650* • Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable. Benefits • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

Job Description The Wealthfront Data Science Team utilizes our rich financial and behavioral data to influence key product and marketing decisions, as well as to safeguard our client’s information and assets. The team draws from backgrounds in Statistics, Operations Research, Computer Science, Economics, and Natural Sciences. We value analytical rigor, clear communication, and proactivity. We believe that good ideas can come from anywhere and encourage Data Scientists to pursue self-directed explorations in search of business value. The Data Scientist in this role will be primarily embedded within Wealthfront’s new and quickly-growing Home Lending area. The vision of this area is to enable our clients to grow their wealth through leveraged home ownership. Responsibilities • Build predictive models for potential purchasers or refinancers in our client base to enable efficient and targeted outreach Analyze user behavior in web-based home lending tools and flows to identify patterns and optimize these experiences Interpret and contextualize statistical results for business stakeholders and help translate numbers into recommendations Expectations Demonstrate a high degree of independence, proactivity, and curiosity - be the first to identify opportunities Formulate project plans with clear rationale, candidate approaches and milestones Communicate clearly and effectively with partners both within and outside the home lending area, through written documents, presentations, and in-person or video meetings Identify key initiatives for the Home Lending area and champion the role of Data Science within these initiatives Employ a high degree of mathematical rigor and best practices for software development. Enhance overall Data Science team execution through hands-on help, design feedback and peer review Depending on experience and interest, management of more junior Data Science team members. Requirements A Master's or a PhD degree in a quantitative field such as Statistics, Operations Research, Computer Science, Economics or Natural Sciences, with 6+ years of prior experience in a Data Science role. Exceptions to these requirements may be considered on a case-by-case basis. Strong communication and collaboration skills and a record of partnering across organizations to sharpen project requirements. Sometimes this includes re-framing the original request to solve a more general problem with similar effort. Hands-on mathematical and software engineering skills to execute on complex projects. Proficiency in Python and SQL. Desire and ability to mentor junior Data Scientists within the team by exemplifying math, engineering and technical communication skills. Estimated annual salary range: $185,000 - $211,000 USD plus Equity. Plus benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more! About Wealthfront Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, low-cost, and easy-to-use financial products that help modern investors grow and manage their money. We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitally-native generation that was underserved by traditional institutions. Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long-term wealth, including: • A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features., • A zero-commission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions., • Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax-loss harvesting, and direct indexing—which we offer at industry-leading low costs and accessible minimums. Our award-winning products have attracted over 1 million clients who trust us with more than $85 billion of their hard earned savings—and we're far from done. If you’re inspired to help us reshape the financial industry as we create our next chapter, let’s talk! For more information please visit www.wealthfront.com.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please review our candidate privacy notice. Disclosures: All investing involves risk, including the possible loss of principal. Tax-Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn’t provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass-through insurance. Investment management and advisory services–which are not FDIC insured–are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC-registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details. By “award-winning products”, please refer to www.wealthfront.com/reviews for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation.

Job DescriptionScientist – Electrochemical Enzyme Assay Development and Testing You must have electrochemistry background. You must have enzymology experience. Arzeda is solving some of today’s hardest and most meaningful problems – from food and nutrition to sustainable materials and homecare – by designing proteins that have the limitless potential to change everyone’s daily life. Our team has developed a proven technology platform that merges computational protein design, machine learning, and synthetic biology tools to produce proteins, enzymes, and bio-based processes more efficiently than Mother Nature. A deep tech, mission-driven company, we are passionate about our mission to design novel proteins and products that enhance our lives and protect our planet. At Arzeda, we value a strong desire to learn, innovate and be continuously challenged. We are seeking a detail-oriented Scientist to join our highly collaborative Protein Testing Team. You will play a critical role in the continued development of our enzyme engineering platform at Arzeda to rapidly screen and optimize enzyme functions by developing high-throughput, automation-ready assay workflows that accelerate enzyme screening, characterization, and experimental iteration. Using your deep knowledge of electrochemistry, enzymology, including enzyme kinetics, protein characterization, analytical biochemistry, , and HT-assay development and troubleshooting you will contribute to impactful projects across the company. Arzeda is located in Seattle, Washington. Nestled among the historic and artistic neighborhoods of Ballard, Fremont and Queen Anne, you'll find the right balance of activities and relaxation. Whether you're indulging your inner foodie at one of many unique restaurants, drinking a craft beverage after a day at the beach, or enjoying a picturesque walk through the Sunday Market, you'll be proud to call Seattle your home. Responsibilities: • Develop robust high throughput enzyme assays for bioelectro-conversions or bioconversions., • Evaluate enzyme performance using electrochemical assays, and traditional enzyme assays, using absorbance, fluorescence, and HPLC/MS to detect and quantify products, cofactors, and reaction mediators., • Contribute to and become an owner of experimental design to drive efficient identification of enzymes with desired properties, • Perform cell-free expression, and high-throughput or mid-scale protein preparation, as needed., • Design, optimize, and scale automation-compatible assay workflows to increase experimental throughput, reproducibility, and data quality., • Partner with automation, software, and data infrastructure teams to implement robotic liquid handling, assay orchestration, and streamlined data analysis pipelines., • Identify experimental bottlenecks and develop strategies to reduce assay cycle time and increase design-build-test-learn iteration speed., • Develop, optimize, and perform laboratory SOPs., • Interface with upstream (e.g., Protein Design, Strain Design, and Genetic Design-Build teams) and downstream teams and (Fermentation and Downstream Processing teams) for efficient data exchange and transfer of materials., • Operate and maintain electrochemistry equipment.Qualifications:, • Ph.D. in Bioelectrocatalysis, Biocatalysis, Biochemistry, Chemical Biology, Chemistry or other related field, or 4+ years of experience in a Masters or industry role., • In-depth knowledge and hands-on experience with enzyme characterization., • Experience developing enzyme assays, especially for biocatalysis or bioconversions., • Experience designing or operating automated experimental workflows and high-throughput assay systems strongly preferred., • Understanding of redox chemistry and thermodynamics., • Experience developing and characterizing enzymes and enzyme-electrode interfaces including direct and/or mediated electron transfer using spectroscopic and electrochemical methods., • Understanding of Marcus and Butler-Volmer theory pertaining to electrocatalysis, ideally additionally familiar with hydride transfer theory and electrochemical impedance spectroscopy., • Experience working in a glovebox/bag., • Experience evaluating data sets, putting together reports, and presenting findings and/or results from data analysis., • Desire to communicate openly within a team and be receptive to feedback and learning opportunities., • Adaptable to changing plans as needed to meet goals.Nice-to-haves (not required, but team members who do well here happily grow in these areas):, • Python and/or R, • Hands-on experience with automation equipment, • Understanding of HPLC or LC/MS for small molecules and proteins.Arzeda compensation and benefits include:, • Base salary of $101,000 to $140,000 depending on experience, • Comprehensive compensation package, to include equity, • Paid time off; company-observed holidays to include a company paid holiday closure between Dec 25 and Jan 1; and paid medical/family leave, • Excellent medical, dental, and vision insurance to include options for Health Savings Accounts, • 401(k) retirement savings plan, • Commuter benefitsLegal authorization to work in the United States is required. Arzeda will not sponsor a new H1-B visa. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Arzeda is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law. Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Powered by JazzHR gwfBmhAu41

Job Description AI Research Scientist - AI BioDesign The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. Our multi-disciplinary teams generate foundational knowledge, tools, and data to understand how our brain, cells, and immune system work. We share our work openly so others can build on it, move faster, and ask bigger questions. We drive discovery forward and create new possibilities for improving human health. Our scientific teams address high-risk, high-reward questions in biology through AI – inventing computational methods and large-scale AI/ML models that turn complex biological data into scientific insight. This work spans collaborations across Allen Institute Accelerators, including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology, as well as external academic and institutional partners. About the Role We are searching for a curious and motivated AI Research Scientist to invent and advance machine learning methods for biological discovery at scale. Rather than primarily applying established techniques, this role focuses on methodological innovation – designing, testing, and refining new AI/ML models that operate across diverse and large-scale biological data, and translating complex scientific questions into computational frameworks. Working closely with scientists and engineers, the AI Research Scientist evaluates model performance, limitations, and scientific relevance, and contributes to the broader scientific community through publications, benchmarks, and reusable methods. The role operates in high-ambiguity, research-driven problem spaces where outcomes are uncertain, and is accountable for scientific contribution and methodological advancement rather than for production systems or analytics delivery. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Essential Functions • Develop, train, and evaluate large-scale AI/ML models across diverse biological data types, with attention to scientific relevance and rigor, • Investigate new modeling paradigms – such as representation learning, generative models, foundation models, and multimodal learning – to address open biological research questions, • Translate complex scientific questions into well-posed computational frameworks, experiments, and benchmarks, • Assess model behavior, limitations, and interpretability in scientific contexts, and communicate findings clearly to scientific and technical collaborators, • Design and run experiments at scale, including benchmarking and model analysis, using modern training and evaluation environments, • Build reusable modeling frameworks and reference implementations that accelerate research across teams, • Document methods and support reproducibility and open science practices, including code, data, and benchmark release where appropriate, • Contribute to the broader scientific community through publications, collaborations, conference participation, and methodological work, • Participate in institute-wide initiatives, workshops, and seminars to promote scientific and engineering excellence through technical leadership and cross-disciplinary collaboration Key Deliverables • Novel AI/ML models, algorithms, or representations developed for scientific problems, • Research publications, benchmarks, and methodological contributions, • Reusable modeling frameworks and reference implementations, • Scientific insights enabled by advanced AI-driven analysis Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned Required Education and Experience • PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field; or equivalent combination of degree and experience, • Demonstrated experience developing and evaluating novel AI/ML approaches for complex, large-scale datasets, • Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX), • Strong foundation in machine learning, deep learning, and scientific computing, including experimentation, benchmarking, and model analysis Preferred Education and Experience • PhD, • Research experience applying machine learning to biological, genomic, or other life-science data (e.g., foundation models, taxonomy or sequence classification, multimodal or signal data), • Experience building and deploying scalable research tooling, pipelines, or command-line applications that empower scientific R&D, • Familiarity with large-scale training and evaluation environments and with scientific computing and modeling libraries, • A record of methodological contribution – publications, benchmarks, open-source releases, or other externally visible scientific work, • Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment, • Demonstrated ability to work independently and manage multiple research efforts simultaneously while meeting milestones What Distinguishes This Role • Focuses on inventing and advancing AI/ML methods, not primarily applying established techniques, • Operates in high-ambiguity, research-driven problem spaces where outcomes are uncertain, • Accountable for scientific contribution and methodological advancement, rather than production systems or analytics delivery, • Distinct from Data Scientist roles, which emphasize applied modeling and insight generation, • Distinct from Scientific Data Engineer roles, which emphasize data pipelines, infrastructure, and ML operations Physical Demands • Fine motor movements in fingers/hands to operate computers and other office equipment Position Type / Expected Hours of Work • This role requires onsite work and is expected to work onsite for the majority of the working hours. We are a Washington State employer, and the primary work location for Allen Institute employees is 700 Dexter Ave N.; any remote work must be performed in Washington State Travel • Attendance and participation in national and international conferences as appropriate Additional Comments • Please note, this opportunity may provide work visa sponsorship, • Please note, this opportunity offers relocation assistance Annualized Salary Range • $146,600 - $183,250 *, • Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable Benefits • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institute’s Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders. Inventory Allocation & Supply Optimization • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base. Data Architecture & Feature Engineering • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration. Experimentation & Performance Measurement • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders. Self-Learning Systems & Feedback Loops • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics. Cross-Functional Collaboration • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse., • Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams. What You Bring: Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred. Preferred / Nice to Have • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery. What Sets You Apart • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project., • Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy. Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LI_Seattle

Description The Data Intelligence team is a new function within Amazon Customer Service (CS). We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer experiences. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. Your expertise will be key in shaping data-driven strategies and addressing complex data challenges. With your expertise in AI, text analysis, embeddings, language modeling, and generation, you'll design and develop scalable AI-powered technology solutions, prioritize initiatives, drive data-driven insights, and deliver business impact. This position will advance applied science best practices, leverage data and AI to drive customer experience improvements, and set new global standards for customer experience. This role requires you to work with a cross-functional team, including scientists, engineers, and product managers, to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technical skills in AI techniques (e.g., automated reasoning, reasoning, planning, knowledge representation), excellent written documentation skills, and experience with big data technologies. Success in this role requires combining deep business knowledge with hands-on technical skills to solve customer problems and address complex technical challenges. Key job responsibilities • Develop innovative solutions to complex problems (e.g., Automated Reasoning for Trusted AI-Enabled Customer Service)., • Apply technical expertise to implement novel algorithms and modeling solutions, in collaboration with other scientists and engineers., • Analyze data and define metrics to identify actionable insights and measure improvements in customer experience., • Communicate results and insights to both technical and non-technical audiences through written reports, presentations, and internal/external publications., • Collaborate with product management and engineering teams to integrate and optimize models in production systems. A day in the life A typical day as an Applied Scientist in the Data Intelligence team involves combining business expertise with hands-on problem-solving in ML and AI. The role encompasses tackling complex data initiatives, ensuring alignment with customer needs and business objectives, and translating business requirements into practical AI-driven solutions. Working collaboratively with cross-functional teams, this position involves designing and enhancing AI models, focusing on efficiency, precision, and scalability. Daily activities include ensuring data quality, monitoring model performance, and generating actionable insights from vast amounts of information. Each day presents opportunities to resolve complex technical challenges, advance important AI projects, and conceive innovative ways to leverage data in transforming the customer experience. About the team The Data Intelligence team is a new function within Amazon Customer Service. We develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), and Natural Language Processing (NLP) techniques to enhance customer service associate and customer experiences. Basic Qualifications • 3+ years of building models for business application experience, • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience, • Experience in patents or publications at top-tier peer-reviewed conferences or journals, • Experience programming in Java, C++, Python or related language, • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications • Experience using Unix/Linux, • Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Description The Worldwide Design Engineering (WWDE) organization delivers innovative, effective and efficient engineering solutions that continually improve our customers' experience. WWDE optimizes designs throughout the entire Amazon value chain providing overall fulfillment solutions from order receipt to last mile delivery. We are seeking a Sr. Simulation Scientist to assist in designing and optimizing the fulfillment network concepts and process improvement solutions using discrete event simulations for our World Wide Design Engineering Team. Successful candidates will be technical expert and natural self-starter who have the drive to apply simulation and optimization tools to solve complex flow and buffer challenges during the development of next generation fulfillment solutions. The Simulation Scientist is expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to system simulation, optimization, AI powered simulation, advanced simulation tools development, coding simulation algorithms to drive process design decisions. Key job responsibilities - You influence the scientific strategy across multiple teams in your business area. You support go/no-go decisions, build consensus, and assist leaders in making trade-offs. You proactively clarify ambiguous problems, scientific deficiencies, and where your team's solutions may bottleneck innovation for other teams. - Lead the design, implementation, and delivery of the simulation science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages, AI powered simulation tools, PLC/IPC Emulations, Robotic system simulation and emulation - Lead strategic system modelling and simulation projects using DES tools, software, PLC/IPC emulations, to drive process design decisions - Be an exemplary practitioner in simulation data science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards - Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact - Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations - Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects - Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments - Lead and actively participate in reviews of simulation data science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline - Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices - Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for research , simulation, and modeling algorithms - Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout - Deliver results according to project schedules and quality A day in the life The day-to-day activities include challenging and problem solving scenario with fun filled environment working with talented and friendly team members. The stakeholders includes Worldwide Design Engineering org verticals, Fulfillment Technology and Robotics team members. The team solve problems related to critical design automation of Material handling equipment and technology design solutions. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! About the team WWDE Simulation Team's mission is to apply advanced simulation tools and techniques to drive process flow design, optimization, and improvement for the Amazon Fulfillment Network. We take ownership and pride to come up with simulation based solutions to drive the designs and earn the customer trust. We always strive to invent new ways to simulate and optimize the design and to invent design solutions. We help design and operation engineers to make simulation driven decisions by producing detailed math models and generating key performance metrics. Basic Qualifications - PhD, or Master's degree and 5+ years of quantitative field research experience - 5+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience - Experience communicating qualitative research methods and findings to non-qualitative researchers Preferred Qualifications - Experience converting research studies into tangible real-world changes - Experience with discrete and continuous optimization methodologies and algorithms Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually

Description Are you excited about building at the intersection of enterprise AI and customer experience? Are you passionate about applying science to real customer problems? Do you want your work shaped by real-world conditions and validated through customer deployments? The Alexa Enterprise team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong background in speech and audio machine learning who thrives in a startup-style environment. In this role, you'll set scientific direction and lead the development of techniques to improve speech-to-text accuracy for domain-specific use cases and optimize the performance and latency of end-to-end audio pipelines. You'll lead work across model evaluation and selection, fine-tuning, data and evaluation strategies, and real-time inference optimization. You'll partner closely with software engineers to turn scientific advances into production capabilities, while working with enterprise customers to understand how speech and audio systems perform in their environments. You'll turn improvements inspired by one customer's needs into capabilities that serve many, while influencing teams around a shared scientific vision. We're a small, fast-moving team building AI-powered solutions at the intersection of Alexa AI capabilities and AWS cloud services. Our customers span healthcare, energy, retail, and insurance, and they're deploying in environments where the technical challenges are real and the feedback loops are immediate. Key job responsibilities - Set the scientific direction for improving speech-to-text accuracy across domain-specific use cases and real-world operating conditions - Lead the evaluation, selection, adaptation, and fine-tuning of speech and audio models based on accuracy, latency, cost, reliability, and deployment constraints - Drive improvements to the performance and latency of end-to-end audio pipelines, from signal processing and streaming through inference and transcription - Define datasets, benchmarks, experiments, and evaluation methodologies that reflect customer use cases - Lead the optimization of models and inference pipelines for reliable, real-time operation - Work directly with enterprise customers to understand quality challenges, validate scientific improvements, and identify opportunities for broader platform capabilities - Turn patterns from customer engagements into reusable models, evaluation methods, and scientific capabilities that scale across customers and industries - Influence and collaborate with software engineering and partner teams to productionize models, measure their performance, and continuously improve deployed systems - Write scientific and technical documents, lead reviews, and communicate experimental results and trade-offs to engineering, product, and business leaders - Mentor Applied Scientists and engineers, participate in hiring, and raise the team's science and engineering standards About the team The Alexa Enterprise team builds AI-powered solutions for businesses. We work with enterprise customers across healthcare, energy, retail, and insurance to deploy solutions that transform operations. Our team operates at the intersection of Alexa AI capabilities and AWS cloud services, partnering closely with AWS sales, product, and specialist teams to deliver customer outcomes. Our work brings together applied AI, speech and audio science, real-time systems, and cloud services. Senior Applied Scientists on the team have real ownership, from identifying and framing customer problems through setting scientific direction, experimentation, production integration, and measurement of customer impact. This is an opportunity to lead meaningful scientific work while helping shape a platform in its early stages. Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - PhD or equivalent research experience, or a PhD and experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience leading a science team - Experience applying machine learning to speech or audio processing, including generative models, speech enhancement, source separation, or related applications - Familiarity with voice-processing techniques such as beamforming, acoustic echo cancellation, and noise reduction Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Description MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Applied Scientist II Job Location: Seattle, Washington Job Number: AMZ9971140 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Design and implement algorithms and formal methods for automated reasoning - including constraint solving, model checking, static analysis, and theorem proving - to verify the correctness, security, and reliability of cloud computing systems and generative AI applications. Develop new decision procedures, heuristics, and search strategies that improve the scalability and accuracy of verification tools. Build and deploy capabilities that enhance automated reasoning systems, such as learning-based heuristics for search and optimization, neural approaches to symbolic reasoning tasks, and data-driven techniques for abstraction and generalization. Extend and apply deep learning architectures (e.g., graph neural networks, transformers, recurrent models) and statistical modeling techniques (e.g., Bayesian inference, probabilistic programming) to problems in formal verification, program analysis, and code generation. Develop automated reasoning techniques for generative AI and agentic coding systems, including methods for verifying the correctness of AI-generated code, ensuring the safety and alignment of autonomous software agents, and applying formal guarantees to large language model (LLM) outputs. Design and build tools that combine symbolic reasoning with generative models to produce provably correct code and system configurations. Conduct original research at the intersection of machine learning and formal methods, including areas such as neuro-symbolic reasoning, program synthesis, interactive and automated theorem proving, abstract interpretation, scalable verification techniques, and formal methods for AI safety. Publish findings in peer-reviewed conferences and journals. Research and implement novel approaches combining ML with symbolic and logical reasoning to improve automated verification tools used across AWS services, including applications in access control policy analysis, network configuration verification, resource compliance checking, and system reliability assurance. Develop optimization methods - including linear and integer programming, convex optimization, and heuristic search - to solve constraint satisfaction, resource allocation, and scheduling problems arising in cloud computing and AI system development environments. Build and maintain production-grade automated reasoning tools and ML pipelines for AWS infrastructure. Design and execute experiments, analyze results using rigorous statistical methods, and iterate on model architectures and algorithmic strategies to improve performance at scale. Mentor junior engineers and scientists on formal methods, ML techniques, and best practices for building reliable automated reasoning systems. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and five years of progressive post baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and one year of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $153,456/year to $193,200/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits.#0000 Basic Qualifications Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and five years of progressive post baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and one year of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language.#0000 Preferred Qualifications Please see job description and the position requirements above. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! The Prime Video Title Lifecycle Presentation team sits at the intersection of science, experimentation, and customer experience. We leverage data signals and rigorous testing to present the most engaging information about our content to customers at precisely the right moment. Our mission is to ensure every customer interaction with Prime Video content is informed, relevant, and compelling in order to drive discovery and engagement across our vast catalog. We're seeking a Sr. Applied Scientist who excels at building sophisticated machine learning systems for content presentation and discovery. The ideal candidate brings deep expertise in: - Multi-modal embeddings for rich metadata representation, enabling nuanced understanding of content attributes and customer preferences - Contextualized ranking systems that adapt to customer intent, viewing context, and real-time signals - Reinforcement learning frameworks that create continuous improvement loops, allowing our systems to learn and optimize from customer interactions over time - General modeling techniques with strong fundamentals in machine learning and statistical methods - Recommender systems experience, with proven ability to build and scale personalization solutions You'll work with technology to solve complex problems in content discovery, leveraging large-scale data to create experiences that delight millions of Prime Video customers worldwide. Key job responsibilities - Lead Cross-Functional Science Initiatives: Drive a diverse portfolio of applied science projects spanning recommender systems, generative AI agent development and evaluation across multiple modalities, and computer vision applications. Demonstrate both breadth of understanding across technical domains and sufficient depth in each area to effectively lead multiple concurrent initiatives to successful outcomes. - Bridge Science and Engineering for Production-Scale Deployment: Partner with engineering teams to productionize machine learning models at Prime Video scale. Develop production-ready science code that meets engineering standards for performance, reliability, and maintainability, ensuring seamless transition from research to deployment. - Mentor and Develop Technical Talent: Provide technical mentorship and guidance to junior scientists and engineers on applied science methodologies, best practices, and professional development. Foster a culture of scientific rigor and continuous learning within the team. Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

Description Amazon is seeking an Applied Scientist II to join our team and drive innovation in Generative AI and Large Language Model (LLM) applications. In this role, you will design, develop, and deploy AI solutions that directly impact millions of customers and transform how Amazon operates at scale. You'll work with state-of-the-art technologies including foundation models, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques to solve complex business problems. Key job responsibilities - Model Development & Innovation: Design and implement novel GenAI/LLM solutions using foundation models (e.g., Claude, GPT, LLaMA) and AWS services including Amazon Bedrock, SageMaker, and other AWS AI/ML tools - Research & Experimentation: Conduct applied research to advance the state-of-the-art in LLM applications, including prompt engineering, few-shot learning, fine-tuning, and model evaluation - Production Deployment: Build scalable, production-ready AI systems that serve millions of requests with high reliability, low latency, and cost efficiency - Cross-Functional Collaboration: Partner with product managers, engineers, and business stakeholders to translate business requirements into technical solutions and drive measurable impact - Technical Leadership: Mentor junior scientists, contribute to technical strategy, and establish best practices for GenAI development across the organization - Evaluation & Metrics: Design rigorous evaluation frameworks to measure model performance, bias, safety, and business impact - Documentation & Communication: Publish technical papers, create detailed documentation, and present findings to both technical and non-technical audiences Basic Qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - PhD in computer science, machine learning, engineering, or related fields - 2+ years of hands-on experience with foundation models and LLM applications (prompt engineering, RAG, fine-tuning, RLHF, Transformer models, and AI Agents) - Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Lambda, etc.) - Publications in top-tier conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, COLM, etc.) - Experience with model optimization techniques (quantization, distillation, efficient inference) - Knowledge of responsible AI practices including bias detection, fairness, and safety evaluation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Description We are seeking a Senior Applied Scientist to pioneer the application of artificial intelligence and machine learning to cyber threat intelligence at Amazon scale. In this role, you will invent and deploy novel AI/ML systems that automate threat detection, accelerate intelligence analysis, and enable proactive defense capabilities. You will work on ambiguous, scientifically-complex problems where traditional engineering approaches fall short-from building predictive models that score threat likelihood against Amazon's specific attack surface, to developing graph neural networks that cluster adversary infrastructure, to creating LLM-powered systems that multiply analyst productivity. This is a unique opportunity to bring scientific rigor to one of the most consequential problem domains in technology-protecting hundreds of millions of customers and the infrastructure that powers the global economy. You will be the first Applied Scientist embedded within ACTI, establishing the science agenda and building the foundation for AI-driven threat intelligence at Amazon. This position requires that the candidate selected be a US Citizen. Key job responsibilities Invent - Identify, frame, and solve scientifically-complex threat intelligence problems where no textbook solutions exist-including threat scoring, malware classification, infrastructure clustering, and intelligence automation - Drive the scientific agenda for AI/ML within ACTI by proposing research initiatives, defining success metrics, and securing management buy-in - Extend and invent machine learning techniques for cybersecurity applications, including anomaly detection on noisy data, few-shot learning for emerging threat families, and graph-based reasoning over attacker infrastructure - Publish research at peer-reviewed venues (e.g., USENIX Security, IEEE S&P, ACM CCS, NeurIPS workshops) Implement - Design, build, and deploy production AI/ML systems that process threat data at scale-from model training on petabyte-scale security logs to real-time inference serving millions of predictions daily - Partner with ACTI engineering teams to integrate AI/ML models into existing intelligence platforms - Develop end-to-end solutions including data pipelines, feature engineering, model training, evaluation frameworks, and production monitoring - Write production-quality code and deploy models with operational excellence-reliability, maintainability, and cost efficiency Influence - Influence across multiple ACTI sub-teams and partner organizations - Build consensus on scientific approaches, balancing analytical rigor with operational urgency inherent to threat intelligence - Mentor security engineers and analysts on AI/ML concepts, helping the broader ACTI team develop data literacy and scientific thinking - Represent ACTI in Amazon's internal science community and contribute to the broader information security research ecosystem About the team Amazon Cyber Threat Intelligence (ACTI) is responsible for identifying, curating, and reporting timely, accurate, and actionable threat intelligence to protect Amazon's global businesses and customers. We investigate, analyze, and defend against sophisticated cyber threats across all Amazon business lines-AWS, retail, entertainment, logistics, and corporate infrastructure. Our intelligence products serve Amazon and AWS leadership, service teams, partners, and both internal and external customers. ACTI operates within Amazon's broader security organization led by the Chief Security Officer. We deliver intelligence that enables proactive defense, informs security investment decisions, and supports incident response across the world's largest cloud infrastructure. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 5+ years of relevant, broad research experience after PhD (or equivalent body of work demonstrating scientific innovation) - Experience deploying AI/ML models into production systems with direct, verified customer impact - Experience in one or more: NLP/LLMs, graph neural networks, anomaly detection, deep learning, or probabilistic modeling - Software development skills - Publication record (including NeurIPS, ICML, ICLR, ACL, EMNLP, KDD, USENIX Security, IEEE S&P, or equivalent) Preferred Qualifications - Experience applying AI/ML to cybersecurity problems - Ability to independently frame ambiguous problems, define research agendas, and deliver results with limited guidance - Familiarity with threat intelligence frameworks and security operations concepts - Experience with large-scale graph analytics, knowledge graphs, or graph neural networks - Experience building and deploying LLM/GenAI applications (RAG systems, fine-tuning, prompt engineering at scale) - Familiarity with ML frameworks such as PyTorch, TensorFlow, or JAX) - Proficiency with AWS services (SageMaker, Bedrock, EMR, Glue, Lambda, S3) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MD, Annapolis Junction - 167,100.00 - 226,100.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, TX, Austin - 167,100.00 - 226,100.00 USD annually USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Description Do you want to transform the way people shop at Amazon? We are looking for stellar applied scientists to be part of our multi-disciplinary team. We are re-imagining the future of the Amazon shopping experience for customers through tailoring it to their current intent. We understand what customers are interested in shopping for, and guide them to discover what they need as they shop. If you love building new technology that helps customers solve their problems, this is your opportunity to impact millions of customers. Come help us build the future of personalized shopping at Amazon! As an Applied Scientist on the team, you will work on science innovation in our space across a large multidisciplinary team. You will have a breadth of problems to work on, ranging from developing state of the art LLM-based techniques to reason about customers and products, developing deep learned transformer-based models to understand and abstract customer intent signals and representations, building large-scale real-time multi-task ranking systems, and more. You will build technology employed by teams across the company, while also having a direct connection to millions of customers through our own customer facing features every day. Come join us in the journey! Key job responsibilities Key job responsibilities Deliver new features and models that have huge impact on the customer experience. Help customers find the right products and content on their shopping journey. Leverage the use of advanced machine learning to create customer shopping experience at Amazon's scale - for all Amazon customers across all countries in realtime Be a key contributor on a multidisciplinary team across science, product, design, and engineering to see through ideas from inception, prototype, to launch in the hands of all Amazon's customers * Propose and innovate on the science roadmap across multiple projects About the team Our vision is to build the next generation of shopping experience at Amazon through personalization and understanding the customer's intent. We imagine our core experiences to work together as a talented personal shopping assistant would - a partner that is knowledgeable, understands your preferences, and helps you find the right solution for your needs. We aim for the quality of personalization to be a core reason customers choose Amazon, on par with Earth's largest selection, low prices, and fast and free shipping. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for ...", "Customers who bought this item also bought", and "Frequently bought together". Amazon's internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow. Basic Qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Description The Amazon Cryptographic Libraries(ACL) team builds the cryptography that AWS services and a growing open-source community depend on, including AWS-LC, our FIPS-validated open-source cryptographic library. As an Applied Scientist on the team, your primary focus will be formal verification: building machine-checked proofs that cryptographic implementations are correct. You will also contribute to algorithm implementation, assembly level optimization, and the adoption of post-quantum cryptography. You will work alongside senior scientists on the team, building deep expertise in an environment where your proofs and code ship to effectively every AWS service. This is a role where an early-career scientist gets both rigorous mentorship and immediate production-scale impact. Key job responsibilities - Develop and maintain machine-checked proofs of correctness for cryptographic implementations in AWS-LC. - Specify the functional behavior of low-level cryptographic code (Rust, C, assembly) in formal notation and verify it using both automatic and interactive provers, such as HOL-Light, Verus and CBMC. - Apply formal methods, program analysis, and rigorous testing to raise the assurance bar of a security-critical, widely deployed codebase. - Contribute to the implementation and optimization of cryptographic algorithms, including post-quantum algorithms (ML-KEM, ML-DSA, SLH-DSA) for production use. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. - Publish patents and peer-reviewed articles and present your research both internally and externally A day in the life You take a cryptographic algorithm that needs to be provably correct and write the formal specification of its behavior, the code and the proof of correctness. You develop the proof in an interactive theorem prover, assisted by state-of-the-art AI models and iterate until the machine checks it end to end. Some days you are debugging a proof obligation; other days you are reading a paper on a new verification technique or helping refine an algorithm implementation, so it is both fast and amenable to proof. Your proofs back code that is validated for FIPS and deployed across AWS. About the team ACL owns AWS-LC (Amazon's FIPS-validated cryptographic library) and manages third-party cryptographic libraries. We build the cryptographic foundation under nearly every AWS service and a growing set of external open-source projects. Applied Scientists on the team own algorithm-level and assembly performance work and partner deeply with AWS's Automated Reasoning Group on formal verification. Basic Qualifications - PhD or equivalent research experience, or a PhD and experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Rust, Java, C, C++, Python or related language - Experience in any of the following areas: formal verification, interactive theorem proving, deductive verification, cryptography or mathematical logic Preferred Qualifications - Hands-on experience with automatic or interactive program verification tools, such as HOL Light, CBMC, Verus, or Lean. - Experience specifying or verifying low-level software (machine code or assembly) - Familiarity with cryptographic primitives and their implementation - Low-level or systems programming experience in Rust, C or assembly - Familiarity with post-quantum cryptography (lattice-based, code-based, or hash-based schemes) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Description Are you excited about building at the intersection of enterprise AI and customer experience? Are you passionate about applying science to real customer problems? Do you want your work shaped by real-world conditions and validated through customer deployments? The Alexa Enterprise team is looking for a passionate, talented, and inventive Applied Scientist with a strong background in speech and audio machine learning who thrives in a startup-style environment. In this role, you'll develop and apply scientific techniques to improve speech-to-text accuracy for domain-specific use cases and optimize the performance and latency of end-to-end audio pipelines. You'll work across model evaluation and selection, fine-tuning, data and evaluation strategies, and real-time inference optimization. You'll partner closely with software engineers to turn scientific advances into production capabilities, while working with enterprise customers to understand how speech and audio systems perform in their environments. The improvements inspired by one customer's needs become capabilities that serve many. We're a small, fast-moving team building AI-powered solutions at the intersection of Alexa AI capabilities and AWS cloud services. Our customers span healthcare, energy, retail, and insurance, and they're deploying in environments where the technical challenges are real and the feedback loops are immediate. Key job responsibilities - Develop and apply modeling techniques to improve speech-to-text accuracy for domain-specific use cases and real-world operating conditions - Evaluate, select, adapt, and fine-tune speech and audio models based on accuracy, latency, cost, reliability, and deployment constraints - Improve the performance and latency of end-to-end audio pipelines, from signal processing and streaming through inference and transcription - Design datasets, benchmarks, experiments, and evaluation methodologies that reflect customer use cases - Optimize models and inference pipelines for reliable, real-time operation - Work directly with enterprise customers to understand quality challenges, validate scientific improvements, and identify opportunities for broader platform capabilities - Turn patterns from customer engagements into reusable models, evaluation methods, and scientific capabilities that scale across customers and industries - Collaborate with software engineers to productionize models, measure their performance, and continuously improve deployed systems - Write scientific and technical documents, lead reviews, and communicate experimental results and trade-offs to engineering, product, and business stakeholders - Contribute to the team's scientific direction, mentor teammates, participate in hiring, and improve science and engineering processes About the team The Alexa Enterprise team builds AI-powered solutions for businesses. We work with enterprise customers across healthcare, energy, retail, and insurance to deploy solutions that transform operations. Our team operates at the intersection of Alexa AI capabilities and AWS cloud services, partnering closely with AWS sales, product, and specialist teams to deliver customer outcomes. Our work brings together applied AI, speech and audio science, real-time systems, and cloud services. Applied Scientists on the team have real ownership, from identifying and framing customer problems through experimentation, production integration, and measurement of customer impact. This is an opportunity to solve meaningful scientific problems while helping shape a platform in its early stages. Basic Qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Knowledge of standard speech and machine learning techniques - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Have publications at top-tier peer-reviewed conferences or journals - Experience applying machine learning to speech or audio processing, including generative models, speech enhancement, source separation, or related applications - Familiarity with voice-processing techniques such as beamforming, acoustic echo cancellation, and noise reduction - Experience optimizing speech or audio models for real-time, low-latency production systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Description Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the limits. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for healthcare. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes. Key job responsibilities In this role, you will: - Design and implement novel AI/ML solutions for complex healthcare challenges - Drive advancements in machine learning and data science - Balance theoretical knowledge with practical implementation - Work closely with customers and partners to understand their requirements - Navigate ambiguity and create clarity in early-stage product development - Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions - Establish best practices for ML experimentation, evaluation, development and deployment - Partner with leadership to define roadmap and strategic initiatives You'll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You'll also need to effectively translate research findings into practical solutions. A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the Special Projects organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the team We represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity. Basic Qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in designing experiments and statistical analysis of results Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development - Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval - Experience applying causal inference techniques in artificial intelligence and machine learning systems Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Description How can we improve the customer experience by tailoring what we display on our pages based on available data? How do we build models that help us innovate in different ways to enhance customer experience? What is the relationship between what customers do on the site vs. what they actually buy? How do we do all of this without asking the customer a single question? Our team's stated missions is to "grow each customer's relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations." Recommendations at Amazon is a way to help customers discover products. Our team strives to better understand how customers shop on Amazon (and elsewhere) and build recommendations models to streamline customers' shopping experience by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day. Using Amazon's large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to generate recommendations, and run these models directly on the retail website. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and the retail business and you will measure the impact using scientific tools. We are looking for a passionate, hard-working, and talented Applied Scientist who has experience building mission critical, high volume applications that customers love. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of cutting edge products used everyday by people you know. Basic Qualifications - 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 4+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience in building machine learning models for business application - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Description Amazon's Identity Security & Abuse Prevention (ISAP) team is seeking an Applied Scientist to join our team. We discover, analyze, and quantify security risks across Amazon's identity and authentication landscape, transforming complex behavioral patterns into actionable intelligence that empowers teams to proactively defend against abuse and unauthorized access. In this role, you will design, build, and own machine learning systems that detect abuse patterns, classify threats, and automate enforcement across sensitive datasets spanning multiple Amazon verticals. You will independently frame ambiguous detection problems, develop novel approaches to abuse prevention, and deploy production ML systems that directly protect Amazon customers and sellers at scale. You will work at the intersection of applied science and security operations, translating complex abuse vectors into scalable detection capabilities. This is a high-ownership role where your models and systems run autonomously in production, making real-time decisions that prevent fraud and abuse. You will own both existing detection capabilities (improving precision, recall, and coverage of current models) and greenfield science (designing and deploying new detection systems for emerging threat vectors). You will lead experimental design, extend or invent methodologies for your domain, mentor junior scientists, and contribute to the team's scientific roadmap. You will partner with investigators, security engineers, and data engineers to build end-to-end detection and enforcement pipelines, and you will leverage GenAI, LLMs, and AI-agent architectures to advance our abuse prevention capabilities. Key job responsibilities - Design, develop, and deploy production ML systems for abuse pattern detection, anomaly detection, threat classification, and automated enforcement across multiple Amazon verticals - Independently frame ambiguous security and abuse problems into well-defined scientific questions, propose detection approaches, and drive them from hypothesis through production deployment - Own and improve existing detection models end-to-end: monitor for drift, diagnose degradation, retrain, and extend coverage as abuse patterns evolve - Build and maintain graph-based entity analysis, identity resolution, and modus operandi classification systems that link bad actors across accounts, devices, and behavioral signals - Design and execute rigorous experiments (A/B testing, offline evaluation, statistical validation) to measure model performance and quantify business impact - Architect and deploy GenAI and LLM-based solutions for investigation automation, case classification, and intelligent knowledge retrieval - Contribute to the team's scientific roadmap by identifying high-value detection opportunities, proposing new approaches, and driving prioritization of science investments - Publish research findings in internal Amazon papers and at external peer-reviewed conferences; contribute to the broader scientific community - Partner with investigators, security engineers, and data engineers to understand abuse patterns, translate operational insights into model features, and ensure detection systems drive real enforcement actions A day in the life Your morning might start with reviewing model performance dashboards for a classifier you deployed last month, noticing a subtle precision drop that suggests adversarial adaptation. You diagnose the drift, propose a feature addition to counter the new pattern, and kick off a retraining job. Mid-morning, you lead a design review on a new graph-based detection approach you developed to identify organized abuse rings operating across multiple verticals. After lunch, an investigator shares a newly identified modus operandi, and you explore the data to determine if the pattern is learnable at scale, sketching an experimental design. Late afternoon, you pair with a junior scientist on their anomaly detection model, helping them refine their evaluation methodology and avoid a common statistical pitfall. You close the day by drafting a section of a research paper on your entity resolution approach, preparing it for internal peer review. About the team The ISAP SafeGuard team mixes long-term, high-impact projects with near-term innovative solutions to prevent abuse across Amazon. We balance Bias for Action, Dive Deep, Invent and Simplify, and Customer Trust daily. Our team embraces new approaches, technology, and innovation while ensuring our solutions are scalable, accurate, and drive action. We work with some of the most sensitive data at Amazon, which requires thoughtful engineering, strict access controls, and a strong sense of responsibility. If you are energized by building ML systems that directly protect customers and sellers from bad actors, at scale, this is the team for you. Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience managing confidential and sensitive employee information and adherence to strict confidentiality standards - Experience in fraud investigation, abuse, cyber-crimes, or equivalent - Experience in one or more of: anomaly detection, classification, graph neural networks, temporal modeling, or causal inference - Familiarity with LLM fine-tuning, reward modeling, or feedback signal design - Familiarity with RAG systems, knowledge graphs, or memory-augmented architectures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

About UsTwitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the RoleJoin the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA.You can work in San Francisco, CA; New York, NY; or Seattle, WA You Will:Apply causal inference methods where experimentation isn't feasibleDevelop models and analyses that inform pricing, segmentation, and revenue optimizationDesign, run, and analyze A/B experiments Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworksBuild and maintain dashboards, reporting, and analytical tooling that support ongoing decision-makingYou Have:3+ years of experience as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics, Statistics, Computer Science, or related quantitative fieldProficiency in SQLProficiency with Python or RStrong foundation in experimentation and causal inference, including A/B test design and quasi-experimental methodsStrong communication skills across technical and non-technical stakeholdersComfort building dashboards and recurring reportingBonus PointsMaster's or PhD in Economics, Statistics, or a related quantitative fieldIndustry experience working on consumer products with high transaction volume (subscriptions, marketplaces, payments) Hands-on experience with Airflow, SageMaker, or deploying ML models in productionFamiliarity with modern causal ML methods (double ML, causal forests, heterogeneous treatment effects)PerksMedical, Dental, Vision & Disability Insurance401(k)Maternity & Parental LeaveFlexible PTOAmazon Employee DiscountPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Job ID: TW9226The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .US, WA, Seattle - Annually$136,000—$184,000 USDThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .US, CA, San Francisco - Annually $157,300—$212,800 USDUS, NY, New York - Annually$153,400—$207,500 USDTwitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

AWS Insights & Optimization is looking for an Applied Scientist to help develop sophisticated algorithms and models that involve analyzing and learning from over 540 billion customer cost, usage, and utilization events daily. We use this data to power cost anomaly detection, cost forecasting, rightsizing recommendations across seven compute services, Savings Plans optimization, and AI-powered conversational experiences that help customers understand and optimize their AWS spend. Our team's vision is to be the world's provider of intelligent AWS cloud financial management, where customers can understand, control, and optimize usage of AWS products. We sit at the nexus of all AWS services and interact directly with end-customers, building relationships with teams across AWS to ensure we offer a secure and reliable experience that builds trust and provides intelligent insights.As a successful Applied Scientist in AWS Insights & Optimization, you will own models end-to-end — from problem formulation through experimentation to production deployment. Your work may span cost anomaly detection (decomposition, detection, and root cause attribution), time-series forecasting with a focus on accuracy and consistency, rightsizing engines for EC2, EBS, Lambda, ECS, RDS, and Aurora, LLM evaluation science for AI-powered agent experiences, or agent memory architectures that enable persistent, adaptive behavior across sessions. You will work closely with applied scientists, software engineers, and product teams to enhance existing models and build new ones that solve challenging customer problems. You will drive implementation of proposed models, establish testing strategies to validate them before and after production, and define evaluation metrics that determine whether capabilities meet the quality bar. We value accuracy over speed, measurability over intuition, and simplicity over complexity — the simplest model that meets the bar wins. You are an analytical problem solver who enjoys diving into data, are excited about investigating and developing algorithms, and can influence technical teams and business stakeholders to solve real-world customer problems.Basic qualifications- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPreferred qualification - Experience using Unix/Linux- Experience in professional software developmentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Job DescriptionGeneral Summary:Vertex is seeking a highly motivated Discovery Immunology Principal Research Scientist, to lead immunology discovery programs focused on autoimmune diseases. The successful candidate will shape scientific strategy, identify and validate therapeutic targets, investigate disease mechanisms, and advance early drug discovery. This role requires deep expertise in immunology, translational science, and experimental biology, as well as a record of leading complex research in a collaborative biotechnology environment.The position partners closely with teams in biology, translational sciences, bioinformatics, drug discovery, and project leadership. This is an on-site, laboratory-based role.Key Duties and Responsibilities:• Lead discovery immunology programs from target identification and validation through mechanism-of-action studies and scientific strategy.• Design, oversee, and interpret in vitro, ex vivo, and in vivo studies across innate and adaptive immunity.• Develop disease-relevant models, innovative experimental approaches, and translational strategies.• Collaborate with chemistry, computational biology, translational research, biomarkers, and project management to guide programs and communicate findings to stakeholders and leaders.• Mentor scientists and foster scientific excellence, collaboration, and continuous learning.• Track emerging science, technologies, and the competitive landscape; contribute to publications, presentations, and conferences.Knowledge and Skills:• Expertise in autoimmune, inflammatory, immune-mediated diseases.• Immunology assay development, cell-based testing, and mechanistic studies; experience with immune–stromal cell or organoid co-cultures is preferred.• Immune-cell profiling, flow cytometry, and multiparameter functional analysis.• Molecular, biochemical, cytokine, and immune-signaling analyses.• Target validation, pathway interrogation, and preclinical disease models.• Familiarity with single-cell, genomic, proteomic, systems-immunology, or bioinformatics approaches.• Strong publication record and recognized scientific contributions.Education and Experience:• PhD in immunology, cell biology, molecular biology, or a related life science; or a bachelor’s degree with at least 10 years of hands-on laboratory experience.• Substantial industry or postdoctoral discovery research experience, including scientific leadership and ownership of early-stage programs.• Deep expertise in immunology, including immune cell biology, inflammatory signaling, and disease-relevant pathways.• Ability to design hypothesis-driven studies, interpret complex data, and translate findings into actionable program strategies.• Strong communication and collaboration skills in matrixed research environments.• Experience mentoring scientists or leading research teams.Pay Range:$140,000 - $210,000Disclosure Statement:The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.Flex Designation:On-Site DesignatedFlex Eligibility Status:In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.#LI-OnsiteCompany InformationVertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.comSummaryLocation: Seattle, WAType: Full time

About OpendoorAt Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.About the RoleWe’re looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.What You'll NeedStrong software engineering and coding skills in Python, with experience contributing to production codebasesExperience developing and deploying ML models end-to-end — from research and prototyping to implementation in production systemsHands-on experience with deep learning architectures, including ConvNets, Transformers, or similarAdvanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative fieldSolid foundation in statistics and experimental designStrong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearlyNice to HaveFamiliarity with Pyspark and distributed data processingBackground in search, recommendation systems, or personalizationExperience working with large language models (LLMs) or vision-language models (VLMs)A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing dataWhat You'll DoDesign and deploy architectural improvements to our deep neural network (DNN)-based home valuation modelsBuild interpretable ML models that can help us explain pricing decisions to customersIncorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systemsImprove the feature engineering and model training pipelines that power our production systemsRethink our risk and optimization models using real-world data and domain insightWe’re a small, nimble team — there’s ample opportunity to work across the entire research and modeling stack.CompensationThe base pay range for this position is $156,800-$355,000 annually, plus RSUs. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.#LI-RO

Career CategoryScientificJob DescriptionJoin Amgen’s Mission of Serving PatientsAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.Sr.Data Scientist - Process ModelingWhat you will doLet’s do this. Let’s change the world. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen’s pipeline. This group also supports key priorities and the development of strategies for digital process development for both biologic and synthetic moieties.This position is part of a team advancing biologics drug-substance modeling and the digitization of tech-transfer workflows. As new modeling capabilities are developed and information is parameterized, opportunities abound to deploy modeling tools to enable early insights and phase-appropriate decision-making. These capabilities support drug substance development, technology transfer, manufacture, and life-cycle management across Amgen’s global network of manufacturing and development sites.This role will contribute to the success of Drug Substance Technology organization by helping to digitize workflows to drive improvements in technology transfer timelines and ensure right-first-time success. As a Sr. Data Scientist, you will evaluate and improve Amgen’s digital assets, collaborating as part of a multi-disciplinary team of scientists and engineers on a wide range of problems. The position will lead to solutions for open-ended “no single right answer” challenges, including modeling, data pipelines, and visualizations to support drug substance development, tech transfer, and manufacturing. The Sr. Data Scientist will also be responsible for determining, defining, and tracking performance improvements.Responsibilities:Leverage tech-transfer and process-modeling domain knowledge to drive implementation of digital technologiesDigital Product Ownership of tech-transfer digital applications, focused initially on expansion of digital process-modeling for the DS networkChange management to integrate tech transfer digital applications into product teamsDevelopment of data products to enable FAIR data for tech transfer/NPIEnable AI Agentic workflows for DST modeling assetsCollaborate with digital product teams to build and integrate modeling assets into business processes for DSTInteract cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for Amgen productsMake business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to varied levels of stakeholdersContribute to establishing a robust data science strategy by providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data scienceWhat we expect of youWe are all different, yet we all use our unique contributions to serve patients. The Data Scientist professional we seek is an individual with these qualifications.Basic Qualifications:Doctorate degreeORMaster’s degree and 2 years of Data Science or Engineering experienceORBachelor’s degree and 4 years of Data Science or Engineering experienceORAssociate’s degree and 8 years of Data Science or Engineering experienceORHigh School diploma or GED and 10 years of Data Science or Engineering experiencePreferred Qualifications:MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science.Chemical Engineering modeling, drug-substance, tech-transfer experience 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) Experience with AGILE software development methodologies Experience with Databricks, coding languages (Python, SQL), AI Tools (Chat GPT, Codex, GenieCode), React, and BI tools (Spotfire/Tableau/Power BI) Experience in developing AI applications for process development workflows and integrating AI solutions into process development business processes Experience with process modeling for cell-culture, harvest,and purification scale-up Demonstrated performance in application of digital tools to solve analytical problems Demonstrated effective written and verbal communication skills Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques as well as manage team members and deliverables.What you can expect of usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accountsA discretionary annual bonus program, or for field sales representatives, a sales-based incentive planStock-based long-term incentivesAward-winning time-off plansFlexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.Apply now and make a lasting impact with the Amgen team.careers.amgen.comIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.Application deadlineAmgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.SponsorshipSponsorship for this role is not guaranteed.As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation..Salary Range134,168.25USD -181,521.75 USDSummaryLocation: US - Massachusetts - Boston; US - Wyoming - Cheyenne; US - Texas - Houston; US - Kentucky - Louisville; US - Georgia - Atlanta; US - California - Thousand Oaks; US - Kansas - Wichita; US - Mississippi - Jackson; US - Wisconsin - Milwaukee; US - Ohio - Columbus; US - Minnesota - Minneapolis; US - North Dakota - Fargo; US - Iowa - Des Moines; US - West Virginia - Charleston; US - Washington D.C.; US - Washington - Seattle; US - Tennessee - Memphis; US - North Carolina - Charlotte; US - Indiana - Indianapolis; US - Florida - Jacksonville; US - South Dakota - Sioux Falls; US - Virginia - Virginia Beach; US - New York - New York; US - South Carolina - Columbia; US - Rhode Island - Providence; US - Michigan - Detroit; US - Arkansas - Little Rock; US - Delaware - Wilmington; US - New Mexico - Albuquerque; US - Vermont - Burlington; US - Pennsylvania - Philadelphia; US - Utah - Salt Lake City; US - Arizona - Phoenix; US - New Jersey - Newark; US - Oregon - Portland; US - Connecticut - Bridgeport; US - Alaska - Anchorage; US - Illinois - Chicago; US - New Hampshire - Manchester; US - Oklahoma - Oklahoma City; US - Colorado - Denver; US - California - Los Angeles; US - Massachusetts - Cambridge; US - Nevada - Las Vegas; US - Alabama - Birmingham; US - Nebraska - Omaha; US - Montana - Billings; US - Maryland - Baltimore; US - Maine - Portland; US - Idaho - Boise City; US - Hawaii - Honolulu; US - Louisiana - New Orleans; US - Missouri - Kansas CityType: Full time

Job DescriptionAt Vertex, we are relentless in our pursuit of transformative solutions for patients with serious diseases. Our innovative approach to research and development has positioned us as a leader in the biotechnology industry. We are seeking a highly motivated and innovative Senior Scientist, Single-Cell Genomics to join a multidisciplinary research team focused on advancing the understanding of human disease biology and enabling translational research through state-of-the-art cellular and molecular profiling approaches.The successful candidate will lead the design, execution, optimization, and interpretation of single-cell genomics and multi-omics workflows, with a primary emphasis on wet-lab experimental biology. This role will focus on implementation of 10x Genomics-based and related single-cell platforms to generate high-quality datasets from complex tissue and peripheral biological samples, including applications in immune cell profiling and disease-relevant contexts. The ideal candidate will bring deep hands-on expertise in executing single-cell assays and the ability to partner closely with computational scientists and cross-functional research teams.The candidate will contribute to developing mechanistic understanding of disease biology and support translational research, biomarker development, and therapeutic hypothesis generation.This is an exciting opportunity for a scientist who is passionate about building and applying cutting-edge single-cell technologies to support target discovery, translational biology, and mechanistic investigation in a collaborative biotech environment.Key Duties & Responsibilities:Execute Single-Cell Genomics and Multi-Omics WorkflowsProcess primary samples and cell-based systems for single-cell applications, including tissue dissociation, cell isolation, enrichment, counting, and viability assessmentGenerate high-quality libraries for transcriptomic, epigenomic, and/or immune profiling applicationsPerform sample and library QC using standard methods such as Qubit, TapeStation, and BioanalyzerPerform end-to-end single-cell genomics and multi-omics workflows, including emerging modalities such as multiome and CITE-seq where appropriate, from sample acquisition through library preparation and sequencingEstablish and refine SOPs, assay documentation, and experimental best practicesWorkflow Optimization and TroubleshootingExecute and troubleshoot assays using 10x Chromium and related technologiesTroubleshoot technical issues across the workflow, including sample quality, library complexity, and sequencing performanceOptimize workflows as needed to maximize sample quality, cell recovery, and reproducibility across studiesBenchmark new methods and contribute to adoption of next-generation single-cell and multi-omics capabilitiesCoordination and Cross-Functional CollaborationCoordinate with internal core groups or external vendors for sequencing, run tracking, and data generationSupport or interface with flow cytometry and cell sorting activities where needed to enable downstream genomics workflowsCollaborate closely with bioinformatics and computational biology teams to support interpretation of complex datasets and enable biologically meaningful insightsPerform critical evaluation of assay and sequencing metrics, including read depth, mapping performance, cell recovery, and QC thresholdsKnowledge and Skills:Deep hands-on expertise in single-cell genomics workflows, with particular experience in 10x Genomics platformsStrong wet-lab background in NGS library preparation, molecular biology, and complex sample processingDemonstrated ability to independently design, execute, troubleshoot, and optimize technically sophisticated experimentsExperience with downstream computational analysis of single-cell datasets is not required but would be considered a significant advantageStrong attention to detail and commitment to high standards in experimental rigor, data quality, and documentationEffective communicator and collaborative scientist who works well in multidisciplinary, matrixed research environmentsEducation and Experience:PhD in Genomics, Molecular Biology, Chemical Engineering, Bioengineering, or a related discipline with 2+ years of relevant experience; or Master’s degree with 6+ years of relevant experience; or Bachelor’s degree with 8+ years of relevant experience Pay Range:$124,200 - $186,400Disclosure Statement:The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.Flex Designation:On-Site DesignatedFlex Eligibility Status:In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.#LI-OnsiteCompany InformationVertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.comSummaryLocation: Seattle, WAType: Full time

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.We create and deliver tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology. Expedia Group is seeking an innovative Data Scientist to transform how we understand and optimize organic search performance across SEO and AEO (AI-enabled search). You'll build and maintain the AI and automation layer that powers performance intelligence for Expedia Group's retail brands including Expedia, Hotels.com, and Vrbo, enabling faster, deeper, and more scalable analysis without linearly scaling manual effort.This role sits at the intersection of analytics, automation, and AI. You'll design agent-assisted workflows, automate recurring performance analysis, build proactive anomaly detection systems, and create feedback loops that continuously improve how the team diagnoses performance drivers, identifies opportunities, and supports strategic decisions. You'll partner closely with marketing analysts and leadership to translate business questions into automated analytical workflows, leveraging tools like Claude, GPT, SQL, Python, and internal data platforms.If you're passionate about using AI to make analytics teams more effective, not just faster at doing the same work, this is your opportunity to build the operating model for marketing performance in the age of AI.In this role, you will:Design, build, and maintain an automation and AI layer for recurring performance workflows including weekly/monthly reporting, anomaly detection, and performance deep divesDevelop agent-assisted analytical workflows that accelerate root-cause diagnosis, surface insights earlierPartner with performance analysts to translate business questions into reusable, automated frameworks that improve over time through feedback loopsCreate clear, actionable outputs (automated commentary, visualizations, structured insights) that reduce manual effort while maintaining analytical rigor and business contextSupport performance deep dives with rapid data exploration, segmentation analysis, and diagnostic workflows that combine domain knowledge with technical automationContinuously refine prompts, agent logic, and analytical outputs based on stakeholder feedback, changing KPIs, algorithm updates, and evolving business questionsExperience and qualifications:2+ years of experience in a highly analytical role (marketing analytics, data science, business intelligence, marketing automation, or comparable product analytics role)Bachelor's or Master's with analytical focus (Computer Science, Data Science, Mathematics, Economics, Statistics, etc.) or equivalent related professional experienceProven ability to translate ambiguous business problems into structured, repeatable analytical solutionsExperience with marketing analytics platforms and datasets (Google Analytics, Adobe Analytics, Tableau, or similar BI tools); organic search (SEO/AEO) knowledge is a strong plusResults-driven with an operational mindset, focused on building tools and systems that deliver sustained value, not just one-off analysesExcellent communication and collaboration skills; able to work cross-functionally with analysts, product managers, and business stakeholders to co-design solutionsSelf-directed learner who thrives in a fast-paced environment and is comfortable iterating on solutions based on feedback and changing requirementsStrong Skills in SQL and Python; comfortable building automated pipelines and integrating multiple data sourcesPreferred qualifications:Demonstrated proficiency in AI and automation applications within analytics or marketing, specifically experience building workflows with GenAI to automate analysis, reporting, or insight generation.Hands-on experience with prompt engineering, retrieval-augmented generation (RAG), embeddings, or multi-modal AI applicationsFamiliarity with organic search (SEO) or agentic search (AEO) performance drivers, ranking systems, and key metricsExperience building or contributing to analytics platforms, data pipelines, or internal tools that scale analytical capabilitiesBackground in growth marketing, performance marketing, or e-commerce analyticsKnowledge of advanced statistical or machine learning techniques applied to marketing measurement or optimization problemsThe total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.Benefits and perksExpedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at .Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at .About Expedia GroupExpedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.Important noticeEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is .Equal OpportunityExpedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.SummaryLocation: Washington - Seattle CampusType: Full time

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Responsible for the daily operations of Alliance Lab Testing Services at assigned lab(s)/location(s) (staff, quality control, personnel). Testing may include hematology, chemistry, urinalysis, and coagulation. Oversee personnel including training, engagement, development, on-boarding and off-boarding. Work in conjunction with HR on required personnel action. Works independently and coordinates lab operations with the Alliance Lab Technical & Compliance team, Specimen Processing (SPS) teams, and other lab leadership. Manage the laboratory quality improvement/quality assurance program in coordination with the Lab Quality team and the Alliance Lab Technical & Compliance team. Participate in quality assurance and quality improvement planning. Collect, monitor, and evaluate quality indicators to identify areas for improvement and report to the Laboratory QI/Integrity Committee. Recruit, hire, train, and evaluate/re-evaluate technicians/technologists on the team where assigned. Coordinate SPS training with SPS team as needed. Maintain documentation of continued competency and continuing education for laboratory staff. Review and improve as needed the routine record keeping across the assigned lab(s)/location(s) (maintenance, quality control, temperature monitoring, etc.). Coordinate proficiency testing as required by lab accrediting agencies. Coordinate policy and procedure development, implementation, and revisions with the Alliance Lab Technical & Compliance team. Represent Alliance Lab teams in lab information/IT settings. Implement safety rules and regulations in compliance with the institution, state, and federal standards. Ensure laboratory's continuous compliance with all regulations. Work with the Alliance Lab Leadership team for long-term planning of department operations including anticipation of staff and space needs and changes in procedures. Develop operating and capital budgets, monitor expenses and revenue, investigate and report budget variances. Manage the maintenance of instrumentation and inventories. Make recommendations for the selection of new laboratory instruments, related equipment, and supplies. Represent the Alliance Lab at meetings with other health care personnel at Fred Hutch or elsewhere in the medical system. Attends assigned committee meetings as required. Serve as a liaison between the lab and other teams in Fred Hutch, University of Washington, and outside the organization. Communicate information, both technical and administrative, to the appropriate faculty, directors, and staff. Contribute to projects across departments and partner organizations. May include travel to other sites. Responsible for developing and monitoring comprehensive productivity metrics, performing continuous and thorough analysis to achieve effective utilization of available resources. Support the development and maintenance of adaptable laboratory systems to meet evolving clinical research needs. Collaborate on the strategic planning and implementation of infrastructure, workflows, and financial models that facilitate clinical research activities within the laboratory. Assist Principal Investigators and research administration teams in aligning scientific goals with operational capabilities, fostering coordination and project success. Provide training and guidance on clinical laboratory processes, procedures, and regulatory compliance, as needed. Required: Bachelor's degree in a chemical, biological, clinical or medical laboratory science, or medical technology from an accredited institution or a Bachelor's degree and equivalent education and training as defined in 42CFR493.1489(b)(3). Must meet the CLIA education requirements for a high complexity testing. Medical Laboratory Scientist/Medical Technologist/Histocompatibility Technologist or equivalent certification with certified maintenance (as required by individual certification) of continuing education through ASCP, AMT, AAB, ABHI or equivalent agency. 6 years of accumulated clinical laboratory experience performing testing on human samples required, including 2 years training and experience in the designated discipline or area of service. At least 2 years of previous experience in a lead/senior tech/coordinator role or 1 year of previous experience in a supervisor/manager/director role (must be verified by title) in a clinical lab with a total of 4 years of clinical lab experience performing high complexity testing in lieu of 6 total years may also be acceptable. Knowledge of CLIA and CAP regulations. Demonstrated direct or indirect leadership of lab projects (new test validation, process improvement, employee engagement, etc.). Good communications skills (written, oral). Proficient with MS Office Suite. Ability to Develop and/or present content to senior leaders and other groups. Demonstrated experience with change management, conflict resolution, and complex problem solving. Ability to work independently and exercise sound judgement is a must. Preferred: Master's Degree in lab science, healthcare administration, business, or related field. Meet the CLIA requirements for a general supervisor, technical consultant, and technical supervisor in hematology and/or chemistry. CAP Inspection Team Member Certification. Familiarity with clinical research processes and their application in clinical laboratory settings is beneficial. At least 4 years of laboratory training or experience, or both, in high complexity testing in hematology and/or chemistry (2 years for employees with Master's degree in a chemical, biological, clinical or medical laboratory science, or medical technology from an accredited institution). Meets the CLIA training and experience requirements for a high complexity general supervisor, technical consultant, and technical supervisor in hematology and/or chemistry. Supervisory or lead experience. Budget preparation and monitoring. Certified CAP Inspection Team Member. The annual base salary range for this position is from $120,931.00 to $191,131.00, and pay offered will be based on experience and qualifications. This position is onsite - located at the Fred Hutch South Lake Union campus at 825 Eastlake Ave E., Seattle WA 98109 along with support for our Satellite Labs as well. 1.0 FTE Exempt This position may be eligible for relocation assistance. Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks).

Reference: R-2399385Posted: 2026-01-26Location: SUNNYVALE, CA, United States; BELLEVUE, WASalary: $117000 - $234000/yearType: Full time / Regular/PermanentCompany: WalmartAs part of the Emerging Tech team, this role is centered on deep technical execution and advanced modeling. As a Senior Data Scientist, you’ll focus on developing and experimenting with deep learning and multimodal generative models, working closely with engineers to bring research-grade ideas into real production systems. *Immigration Sponsorship is not available in this role About Emerging Tech: Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop. As a Senior Data Scientist you will: Contribute as a hands-on builder focused on model development and rapid experimentation. Execute complex deep learning and multimodal modeling work with a production mindset. Partner closely with engineering to deploy, monitor, and iterate on models in production. Influence adjacent teams through strong technical judgment and collaboration. Thrive in fastmoving, ambiguous spaces where learning fast and shipping value matters. Experience we are looking for: 3–6+ years in data science, deep learning, or applied ML. Proven, hands-on expertise with modern deep learning frameworks. Experience training, finetuning, and evaluating large models. Ability to work with large datasets and curate domain specific training data. Track record of close collaboration with engineering partners. Strong analytical skills and clear, concise communication. Research mindset with real world impact; publications are a plus, not a requirement. About Walmart Global Tech:Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.Your Career Journey at WalmartAt Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: . There is no cost or payment required to apply or be considered for a position.If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart!At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-11656: The annual salary range for this position is $117,000.00 - $234,000.00 Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum qualifications["Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field."]Preferred qualifications["Data science, machine learning, optimization models", "Using open source frameworks (for example, scikit learn, tensorflow, torch)", "We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.", "Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics", "Successful completion of one or more assessments in Python, Spark, Scala, or R"]

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.We’re looking for a Sr. Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersThink creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributionsConduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizationsCommunicate best practices in quantitative analysis and develop cross-functional partnershipsUtilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.Knowledge, Skills and Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsExperience collaborating with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingAbility to communicate complex quantitative analysis in a clear, precise, and actionable mannerAdaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making, insights generation, and industry best practicesMinimum Qualifications:Bachelor's Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experience5+ years of post-Bachelor’s quantitative analysis and data science experience ; or a Master’s degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad quantitative analysis and data science experiencePreferred Qualifications:5+ years of experience using SQL or similar big data querying languages5+ years of experience with programming language, such as Python or R5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $190,000-$284,000 annually.Zone B: The base salary range for this position is $181,000-$270,000 annually.Zone C:The base salary range for this position is $162,000-$241,000 annually.This position is eligible for equity in the form of RSUs.SummaryLocation: Los Angeles, California; New York - 229 W 43rd St; Bellevue - 110 110th Ave NE; Seattle - 2025 1st Avenue; San Francisco - 1160 Battery St; Palo Alto - 395 Page Mill RdType: Full time

At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.About the Role:We are seeking a highly skilled and motivated Lead Data Scientist to join our data science team. In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve our most complex problems. You will set the standard for data science excellence, architect scalable solutions, and help define the long-term analytical strategy. You will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly shape company-wide strategic planning, resource allocation, and product innovation.Responsibilities:Lead the end-to-end development, validation, and deployment of large-scale predictive models and algorithms that inform strategic business decisions and market trend analysis.Design and execute rigorous data-driven research to analyze the impact of multi-faceted factors on business outcomes, tackling the organization’s most highly ambiguous and open-ended problems.Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities, translate overarching business goals into complex analytical frameworks, and deliver high-impact actionable insights.Synthesize and communicate highly complex methodologies, technical trade-offs, and strategic findings clearly to both C-level executives and technical audiences.Act as a technical mentor to other data scientists, fostering a culture of continuous learning, rigorous peer review, and adherence to state-of-the-art methodologies.Qualifications:Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field.5+ years of experience in data science with a proven track record of conceptualizing, leading, and delivering highly successful, end-to-end data science projects.Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference).Extensive practical experience architecting solutions using a broad range of methodologies (e.g., prediction, segmentation, NLP).Demonstrated proficiency in Python and SQL for complex data manipulation, statistical analysis, and model development.Hands-on experience productionizing machine learning models and strong familiarity with MLOps concepts and workflows.Proven experience leading complex, cross-functional projects and applying advanced methodologies to solve ambiguous business problems.Strong advocate for clean code principles, software engineering best practices, and technical standards.Strong business acumen and strategic thinking, with a proven ability to understand the broader business context, evaluate tradeoffs, and align analytical projects with organizational goals.Experience mentoring and guiding junior team members, overseeing project quality, and investigating root causes of complex technical challenges.Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment.Experience in the Real Estate industry or other market-driven domains is a plus.Compensation: The base pay range for this position is $175,500-195,000 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.Perks that You Need to Know About:Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance.Do your best work, be your authentic self.At Compass, we believe that everyone deserves to find their place in the world — a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to diversity, equity, inclusion, growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers.Notice for California ApplicantsLos Angeles County Fair Chance Notice

AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers—delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries. Our portfolio spans AI-powered specialist knowledge systems (Specialist Agent, Knowledge Vault), hands-on engagement platforms (Workshop Studio), content quality and recommendation engines (Holmes), and go-to-market orchestration tools (Alchemy)—collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity. We are seeking a Data Engineer to join our newly formed centralized analytics team as one of the first Data Engineers on the team. This is a greenfield opportunity to build a data platform from the ground up—making foundational architectural decisions and directly influencing how an entire organization measures success and makes investment decisions. You will design, build, and operate scalable data pipelines that connect product telemetry, usage metrics, and business outcomes into a coherent, unified data ecosystem. Your focus will be squarely on engineering—building robust, scalable infrastructure and data models—while dedicated Business Intelligence Engineers on the team own the reporting, dashboarding, and stakeholder-facing analytics. This is not traditional reporting—you will be building the data backbone that powers intelligent, agent-driven analytics experiences (MCP tools, agentic retrieval systems) enabling stakeholders to intuitively access and consume data within their day-to-day workflows. The data you engineer will inform executive reviews, drive product strategy, and power the next generation of self-service analytics tools used by thousands of AWS field team members. Key job responsibilities- Design, build, and operate scalable ETL/ELT pipelines that ingest product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio - Architect and implement a centralized data platform using AWS-native technologies (Redshift, S3, Glue, Lake Formation, Lambda, Athena) that serves as the single source of truth for organizational analytics - Build and maintain data models that connect product usage signals to business outcomes (e.g., content effectiveness field engagement pipeline progression revenue impact) - Develop data infrastructure supporting AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers - Implement data quality frameworks with automated monitoring, alerting, and validation to ensure accuracy and reliability as the platform scales - Build self-service data products with clear SLAs, documentation, and governance that reduce ad-hoc request burden and empower stakeholders to answer their own questions - Partner with Applied Scientists and SDE teams to provide clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring - Establish data contracts, lineage tracking, and catalog metadata to support discoverability and trust across the organization - Operate with a high bar for operational excellence—owning on-call, monitoring pipeline health, and proactively resolving data freshness or quality issues before they impact consumers - Contribute to the evolution from static dashboards toward agentic data systems by building the foundational data layers that AI agents query and reason over About the teamYou will be joining a high-growth engineering organization at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The centralized analytics team is being built from the ground up—you will be one of the first two Data Engineers on the team, working alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM. You will make foundational architectural decisions that define how the platform will be built, scaled, and operate for years to come. The pace of innovation is high, the problems are ambiguous, and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to shape foundational architecture decisions and influence how an entire organization consumes and acts on data. About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Basic qualifications- 3+ years of data engineering experience- 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience- 3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience- 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience- 3+ years of in the job offered or a related occupation experiencePreferred qualification - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .USA, NY, New York - 145,300.00 - 196,600.00 USD annuallyUSA, TX, Austin - 132,100.00 - 178,800.00 USD annuallyUSA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

We AreIn the last 30 years, no technology has promised to change everything across a business—until generative AI. Today, AI is the number one driver of business reinvention. And data readiness is one of the most important factors for AI success. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI. With over 77,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization is powered by experienced innovation, strategic investment, exceptional talent, and our power ecosystem.There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to create a rewarding career at Accenture Technology. Working in a digitally driven, innovation-led environment where you can help clients shift to the New using leading-edge technologies on some of the coolest projects you can imagine.Join our Global Agentic Center of Excellence and help lead that change.You Are:As a Snowflake Advanced AI Engineer, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.The Work:• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools• Justify the value of model approaches in business problems• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into productionTravel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.Here’s what you needMinimum of 2 years of hands-on experience across Snowflake Cortex AI - Cortex Agents, Cortex Analyst, Cortex SearchMinimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programmingMinimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networksMinimum of 1 year of experience in building and deploying AI/ML based software to a cloud environment.Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)Professional Skills Requirements:Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholdersStrong client-facing skillsets in a consulting environmentStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teamsEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovationBonus Points if you haveProficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..Experience working with language models like LLM's APIs and optimizing their usage for specific applications.Experience with the following programming languages: Python, C++, Java, R, SQLMS or PhD in related field preferred (computer science, engineering, etc.)Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 09/30/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:U.S. Employee Benefits | AccentureRole Location Annual Salary RangeCalifornia $70,350 to $205,800Cleveland $59,100 to $164,600Colorado $63,800 to $177,800District of Columbia $68,000 to $189,300Illinois $59,100 to $177,800Maine $54,400 to $151,400Maryland $63,800 to $177,800Massachusetts $63,800 to $189,300Minnesota $63,800 to $177,800New York $66,300 to $205,800New Jersey $68,000 to $205,800Virginia $59,100 to $189,300Washington $80,200 to $189,300About AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at What We BelieveWe have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more hereRequesting An AccommodationAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.For details, view a copy of the Accenture Equal Opportunity StatementAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.Accenture is committed to providing veteran employment opportunities to our service men and women.Other Employment StatementsApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.SummaryLocation: San Francisco, 415 Mission Street, Corp; Milwaukee, 790 N Milwaukee St, Corp; Dallas, 5205 N OConnor Las Colinas, Corp; Columbus, 400 W. Nationwide Blvd, Corp; Kirkland, 416 6th Street South, Corp; Cincinnati, 4th Street, Corp; New York, One Manhattan West, Corp; Cleveland, 1400 W 10th Street, Corp; Oklahoma City, 525 NW 11th St, Corp; Austin, 323 Congress Avenue, Corp; Albany, 69 State St, Corp; Chicago, Accenture Tower, Corp; St. Pete, 140 Fountain Pkwy, Tampa Corp; Hartford, 280 Trumbull, Corp; Pittsburgh, 1001 Liberty Ave, Corp; St. Louis, 4220 Duncan Avenue, Corp; Miami, 777 Brickell Ave, Corp; Sacramento, 1610 R Street, Corp; Raleigh, 555 Fayetteville, Corp; Minneapolis, 333 S 7th, Corp; Mountain View, 650 Castro, Corp; Scottsdale, 15279 N Scottsdale Rd, Corp; Morristown, 1 Speedwell Ave, Corp; Denver, 999 18th St, Corp; Boston, 888 Boylston, Corp; Philadelphia, 2001 Market St, Corp; Des Moines, 909 Locust, Corp; Overland Park, 7300 W 110th Street, Corp; Los Angeles, 6181 W Centinela Ave, Corp; Charlotte, 1120 S Tryon St., Corp; Walnut Creek, 1255 Treat Blvd, Corp; Carmel, 11939 N Meridian St., Corp; Seattle, 1191 2nd Avenue, Corp; Houston, 1301 Fannin, Corp; Arlington, 1201 Wilson, Corp; Atlanta, 75 Fifth, Corp; Redmond, 8383 158th Avenue NE, Corp; Bentonville, 805 S Walton Blvd., Corp; Beaverton, 15220 NW Greenbrier, Corp; Nashville, 4101 Charlotte Ave., Corp; Detroit, 1240 Woodward, Corp; San Diego, 12680 High Bluff Dr, CorpType: Full time

Reference: R-2399362Posted: 2026-01-26Location: SUNNYVALE, CA, United States; BELLEVUE, WASalary: $143000 - $286000/yearType: Full time / Regular/PermanentCompany: WalmartAs part of the Emerging Tech team, this role sits at the forefront of how AI shifts from reactive to proactive by moving from simply answering questions to anticipating customer needs. As a Distinguished or Principal Data Scientist, you will define strategy and system level architecture across agent-led decision systems, generative media foundations, and conversational AI evaluation. Your work powers intelligent agents that guide and elevate how customers shop at Walmart at massive scale. *Immigration Sponsorship is not available in this role About Emerging Tech: Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop. As a Principal or Distinguished Data Scientist you will: Shape the long-term vision for AI systems and platforms, setting the direction for what’s next. Lead architectural decisions across key areas like agentic systems, evaluation, and generative platforms. Serve as a trusted technical advisor to directors and senior leaders, influencing strategy at the highest level. Establish standards, frameworks, and best practices that guide teams toward excellence. Showcase technical leadership externally through publications, patents, open-source contributions, and thought leadership. Experience we are looking for: 10+ years of experience building and deploying advanced ML and AI systems at scale Proven track record of owning architecture-level decisions for LLMs, agentic systems, evaluation frameworks, or generative platforms Deep expertise in one domain with the ability to influence adjacent areas Experience turning ambiguous product or business goals into clear, long-term technical strategies A strong record of production impact and technical leadership External credibility through publications, patents, open-source contributions, speaking engagements, or similar achievements About Walmart Global Tech:Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.Your Career Journey at WalmartAt Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: . There is no cost or payment required to apply or be considered for a position.If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart!At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00 Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum qualifications["Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field"]Preferred qualifications["Publications or active peer reviewer in related journals or conference", "Data science, machine learning, optimization models", "Successful completion of one or more assessments in Python, Spark, Scala, or R", "We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.", "PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics", "Using open source frameworks (for example, scikit learn, tensorflow, torch)"]Additional information(empty)

Reference: R-2399378Posted: 2026-01-26Location: SUNNYVALE, CA, United States; BELLEVUE, WASalary: $143000 - $286000/yearType: Full time / Regular/PermanentCompany: WalmartAs part of the Emerging Tech team, you’ll help move AI from reactive to proactive by building systems that operate in the real world. As a Staff Data Scientist, you’ll take full ownership of conversational, agentic, and generative AI systems from modeling to production, powering intelligent agents at Walmart’s scale. *Immigration Sponsorship is not available in this role About Emerging Tech: Our Emerging Tech team drives Walmart’s AI transformation by building intelligent systems that influence how millions shop every day across our global retail ecosystem. We develop state-of-the-art generative and conversational AI that powers more proactive, connected, and personalized experiences. At this scale, every innovation you create not only reaches millions of customers worldwide but also comes to life in the very communities where you live, work, and shop. As a Staff Data Scientist you will: Lead projects end-to-end, from defining the problem to launching production ready solutions. Design, finetune, evaluate, and deploy machine learning and LLM based systems that perform reliably at Walmart scale. Take ownership of how systems behave in the real world, including latency, scale, and reliability. Influence teams across Emerging Tech through strong technical judgment and partnership, not authority. Work confidently in fastmoving, ambiguous spaces where quick learning and iteration matter. Experience we are looking for: 4–9+ years of experience in data science, machine learning, or applied AI. Handson experience building, finetuning, evaluating, and deploying ML or LLM driven systems. Strength in one of the following areas: NLP, conversational AI, or agentic workflows Deep learning and multimodal generative modeling (text, image, video, or 3D) Experience running scalable, production grade systems that support real customers. Familiarity with MLOps practices, distributed training, or inference optimization (especially for deep learning specialists). Ability to balance cutting edge research with real world operational needs. A track record of influencing engineers, product partners, and designers through clear technical insight. About Walmart Global Tech:Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Walmart's culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.Your Career Journey at WalmartAt Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Here’s what to expect when interacting with us as recruiters:We’ll reach out via verified LinkedIn profiles or emails ending in "@walmart.com.” or “@samsclub.com”. All job opportunities and applications are hosted on our official careers site: . There is no cost or payment required to apply or be considered for a position.If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart!At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00 Bellevue, Washington US-11663: The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum qualifications["Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field"]Preferred qualifications["Successful completion of one or more assessments in Python, Spark, Scala, or R", "We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.", "PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics", "Using open source frameworks (for example, scikit learn, tensorflow, torch)", "Data science, machine learning, optimization models"]Additional information(empty)

About RipplingRippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.About the roleThe Data Cloud team is building an end-to-end analytics and business intelligence system for our customers and will replace their need for Data Lakes, Data Warehouses and data pipelines. We are building systems for ingestion, transformation, lineage, data catalogs and visualization. Most companies cobble together data pipelines from Fivetran, Airbyte, Airflow, DBT, Snowflake, DataBricks, Kafka and a host of other technologies. Rippling is in the unique position of being the source of the vast majority of this data, hence we can provide an all encompassing solution out of the box. In addition, we are exploring the use of ML and LLMs to provide automated insight generation and conversational experiences to allow data consumers to have a virtual data scientist as their analytics copilot.We just launched our data pipelines product to beta customers and have strong demand for over 100+ connector types. As we go to GA this will expand to thousands of connectors for 100s of thousands of customers moving billions of rows of data to power our data analytics and AI based analytics products. We support API based integration as well JDBC, Open Telemetry based data ingestion. We are at the forefront of agentic development through test harnesses at Rippling. In addition we need someone who can handle pipelines that sync billions or rows of data daily across a multi-tenant system with tens of thousands of customers. What you will doDevelop high-quality software with attention to detail using tech stacks like Python, Apache Kafka, Iceberg, Temporal.Create Data pipelines and processing products used at large scale.Create data platforms, data lakes, and data ingestion systems that work at scaleHave clear ownership of one or many products, APIs or platform spacesBuild and grow your engineering skills in different challenging areas and solve hard technical problemsInfluence architecture, technology selections, and trends of the whole companyWhat you will need8+ years of experience in software development, preferably in fast-paced, dynamic environments.Solid understanding of CS fundamentals, architectures, and design patterns.Proven track record in building large-scale applications, APIs, and developer tools.Excellent at cross-functional collaboration, able to articulate technical concepts to non-technical partners.You thrive in a product-focused environment and are passionate about making an impact on customer experience.Bonus Points: for contributing to open-source projects (Apache Iceberg, Parquet, Spark, Hive, Flink, Delta Lake, Presto, Trino, Avro)Additional InformationRippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.comRippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

About Pinterest:Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.We are looking for Data Scientists to join our Monetization Engineering organization. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest’s strategy in the Ads space.What you’ll do:Deep strategic analysis to answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment.Modeling: Build segmentation models to assess supply to inform pricing strategy.Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time).Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance.What we’re looking for:Bachelor’s/Master’s degree in a relevant field such as Data Science, or equivalent experience5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.Strong fundamentals in statistics, experimentation.Domain knowledge in ecosystem, ads, or real-time-bidding.Proven ability to apply scientific methods to solve real-world problems on web-scale data.Proficiency in SQL/Hive/Python.Relocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.#LI-HYBRID#LI-JT6At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$164,428—$287,749 USDOur Commitment to Inclusion:Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Reference: R-2524667Posted: 2026-06-03Location: BELLEVUE, WA, United StatesSalary: $192000 - $384000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficeRole summary:The Senior Distinguished I, Data Scientist, leads the design and implementation of advanced data-driven and AI native solutions to address complex business challenges. This role involves leveraging expertise in GenAI, machine learning, data visualization, and analytics to generate actionable insights that drive strategic decision-making. The position requires collaboration with cross-functional teams to develop scalable models, guide data strategy, and influence business outcomes. The incumbent mentors associates, ensures adherence to data governance standards, and continuously advances analytical capabilities to support Walmart’s objectives and innovation initiatives.About the team:Our team integrates expertise in software engineering, data science, AI, and rapid experimentation to build scalable platforms enabling intelligent automation and customer-focused AI solutions. Emphasizing iteration speed and practical impact, the team develops adaptive systems that learn from real-world data. Members address complex challenges to deliver secure, production-ready software within a collaborative environment that encourages innovation and continuous improvement. Leveraging skills in predictive analytics, data strategy, machine learning, Python, and data visualization, the team drives meaningful business outcomes and advances technology initiatives aligned with organizational objectives.What you'll do: Design and implement AI native applications and software products using GenAI coding tools Design and implement advanced data visualization solutions to communicate complex insights effectively. Collaborate with stakeholders to understand business needs and translate them into data-driven strategies and actionable models. Lead the development and deployment of data analysis products, ensuring alignment with business objectives and scalability requirements. Define data governance standards and quality guidelines to support robust analytical modeling and data management. Mentor teams on best practices in analytics, visualization, validation and GenAI development to drive continuous improvement. Influence strategic decisions by integrating data insights with business context and measuring return on investment. What you'll bring: Extensive expertise in data science, including advanced statistical methods and machine learning algorithms. Proficiency in multiple data visualization tools such as Python, R, Tableau, and PowerBI to create compelling data stories. Strong understanding of data governance, data quality standards, and data ecosystem management. Ability to design and implement scalable machine learning models aligned with business objectives. Experience in defining data requirements and leveraging multiple data sources for analytical modeling. Skilled in coding languages including Python, SQL, and Java, with a focus on testing and deployment. Skilled in developing software products with GenAI coding tools Proven capability to influence business strategy through data-driven insights and ROI evaluation. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. The annual salary range for this position is $192,000.00 - $384,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum qualifications["Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology or related field and 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or relatedfield."]Preferred qualifications["Successful completion of one or more assessments in Python, Spark, Scala, or R", "Data science, machine learning, optimization models", "We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.", "Publications or active peer reviewer in related journals or conference", "Using open source frameworks (for example, scikit learn, tensorflow, torch)", "PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics"]

We Are:Accenture’s Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful and more accessible. With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built and deployed in a manner that engenders trust and adheres to laws, regulations and ethical norms. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture’s data and AI activities. We’re developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. We’ll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy. The risks of AI are real and well- known . Let’s help our clients turn those risks into opportunities.You are:We are seeking an experienced to design, develop, operationalize, and govern enterprise-scale artificial intelligence solutions.You will bring broad expertise across advanced analytics, statistical modelling, machine learning, deep learning, natural language processing, computer vision, generative AI, and agentic AI, combined with a strong understanding of Responsible AI, AI governance, policy, standards, regulation, and risk management.You will work with clients to translate emerging AI technologies, regulatory requirements, and Responsible AI principles into practical business outcomes. This includes helping organizations establish and implement AI principles, policies, governance structures, operating models, risk-management frameworks, controls, assurance mechanisms, and technology-enabled Responsible Senior Data Scientist AI capabilities.The ideal candidate combines technical depth, business acumen, consulting experience, experimentation discipline, regulatory awareness, and strong stakeholder leadership. You will be comfortable moving between hands-on technical problem solving, executive-level advisory, client delivery, business development, and thought leadership.You will work across industries and functional areas, helping clients take AI initiatives from strategy and discovery through experimentation, engineering, deployment, governance, monitoring, and continuous improvement. You will also contribute to Accenture’s perspectives on emerging AI technologies, governance practices, standards, policy, and regulation.The work:Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy, risk, compliance, and operations teams to identify, assess, and prioritize high-value AI opportunities.Translate complex business challenges into clearly defined analytics, machine learning, generative AI, agentic AI, and decision-science problem statements.Perform exploratory data analysis, statistical analysis, hypothesis testing, experimental design, feature engineering, predictive modelling, and optimization.Develop supervised and unsupervised machine learning solutions, including classification, regression, clustering, forecasting, recommendation, anomaly detection, optimization, and related techniques.Design and implement deep-learning solutions using neural networks, transformers, convolutional architectures, sequence models, representation-learning techniques, and multimodal approaches.Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.Develop generative AI applications using large language models and foundation models, including prompt engineering, embeddings, vector search, retrieval-augmented generation, fine-tuning, model adaptation, guardrails, and evaluation.Design agentic AI solutions that combine reasoning, planning, memory, tools, workflows, human oversight, and single- or multi-agent orchestration to execute complex business processes.Evaluate commercial, open-source, and internally developed AI models and platforms based on performance, accuracy, robustness, cost, latency, scalability, security, privacy, explainability, maintainability, and operational fit.Design experimentation frameworks, evaluation methodologies, benchmarks, test datasets, acceptance criteria, and performance metrics for traditional, generative, and agentic AI systems.Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize scalable AI solutions using MLOps, GenAIOps, and LLMOps practices.Establish monitoring and observability for model performance, drift, bias, fairness, hallucination, toxicity, safety, latency, cost, resilience, and overall system reliability.Assess AI use cases and systems for risk across areas including fairness, transparency, explainability, privacy, security, robustness, human oversight, accountability, and regulatory compliance.Design and implement Responsible AI operating models, governance structures, policies, standards, controls, risk-assessment methodologies, assurance processes, and supporting technology capabilities.Advise clients on the implications of emerging AI legislation, regulation, standards, regulatory guidance, and industry practices.Maintain awareness of major developments in AI policy, regulation, technical standards, assurance, and governance and translate these developments into actionable guidance for clients.Support organizations in establishing AI inventories, classification and risk-tiering approaches, governance workflows, control libraries, documentation standards, testing frameworks, and ongoing monitoring.Act as a subject matter expert in Responsible AI within broader data, AI, cloud, digital, and enterprise-transformation programs.Shape and lead Responsible AI and AI-governance engagements, from initial assessment and strategy through design, implementation, operationalization, and continuous improvement.Engage with prospective clients to identify opportunities, shape solutions, develop proposals, and support sales conversations related to AI, Generative AI, Agentic AI, and Responsible AI.Lead client workstreams and multidisciplinary delivery teams, managing scope, outcomes, risks, dependencies, stakeholders, and delivery quality.Communicate analytical findings, AI-system behavior, limitations, risks, trade-offs, and business implications to both technical and non-technical stakeholders.Provide guidance to senior Accenture leaders and client executives on AI strategy, adoption, governance, risk, regulation, and emerging technology.Engage with relevant industry, policy, standards, regulatory, academic, and ecosystem stakeholders where appropriate.Develop and present Accenture perspectives, methodologies, accelerators, research, and thought leadership on AI and Responsible AI.Mentor data scientists and other practitioners and contribute to reusable frameworks, standards, assets, accelerators, and communities of practice.Support clients with AI strategy, capability development, technology selection, organizational change, workforce adoption, and responsible scaling of AI.Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.Here’s what you need:A minimum of 6 years of relevant professional experience across data science, artificial intelligence, advanced analytics, Responsible AI, technology consulting, AI governance, or related disciplines.You should have:A Bachelor’s or Master’s degree in data science, statistics, mathematics, computer science, engineering, economics, operations research, or another quantitative or technical discipline.Significant experience applying data science, machine learning, advanced analytics, or artificial intelligence to real-world business problems.Strong understanding of probability, statistics, experimental design, optimization, machine learning theory, and quantitative problem solving.Proficiency in Python and commonly used data science and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, XGBoost, or equivalent technologies.Experience designing, developing, validating, deploying, and monitoring machine learning models in production environments.Practical experience with generative AI, including large language models, foundation models, prompt engineering, embeddings, semantic search, retrieval-augmented generation, and model evaluation.Experience working with structured, semi-structured, and unstructured data, including textual, image, multimodal, transactional, or time-series datasets.Strong SQL skills and experience working with modern data platforms, distributed-processing technologies, cloud platforms, and enterprise data environments.Understanding of software engineering practices including APIs, version control, automated testing, containerization, continuous integration, continuous deployment, and production observability.Experience with AI governance, Responsible AI, model risk, data ethics, privacy, security, compliance, or related risk-management disciplines.Working knowledge of AI-related policy, standards, regulation, regulatory guidance, or assurance approaches.Experience translating regulatory, ethical, policy, or risk requirements into practical governance processes, operating models, controls, and technology requirements.Strong client-facing consulting skills, including structured problem solving, executive communication, stakeholder management, workshop facilitation, and storytelling.Experience shaping and delivering complex projects or workstreams involving multidisciplinary teams.Strong written and verbal communication skills, including the ability to explain complex technical, regulatory, and risk topics to senior stakeholders.In addition, you should bring meaningful experience in one or more of the following environments:Management or technology consulting involving AI, data, Responsible AI, governance, risk, or regulatory transformation.Government, legislative bodies, regulators, standards-development organizations, policy institutions, or multilateral organizations.Corporate Responsible AI, AI governance, model risk, compliance, legal, privacy, technology-risk, or AI assurance teams.Designing and implementing governance operating models, organizational structures, policies, standards, processes, risk frameworks, and controls.Academic or applied research focused on Responsible AI, AI governance, AI ethics, AI safety, AI policy, or related disciplines, with demonstrated practical application.Priority skills/knowledge:Responsible AI and AI governanceAI regulation, policy, standards, and complianceGenerative AI and Agentic AIData and AI ethicsAI risk assessment and assuranceAI governance operating modelsGovernance structures, policies, standards, and controlsModel and AI-system evaluationStakeholder and executive managementManagement consultingProject and workstream leadershipTechnology strategy and transformationBonus points if you have:A doctorate in a quantitative, technical, or closely related discipline.Experience designing or deploying agentic AI systems, including tool-using models, orchestration frameworks, workflow automation, reasoning systems, or multi-agent architectures.Experience with knowledge graphs, graph analytics, causal inference, reinforcement learning, simulation, operations research, or mathematical optimization.Familiarity with vector databases, model gateways, model registries, feature stores, evaluation platforms, AI observability tools, and AI-control technologies.Experience with major cloud and AI platforms such as AWS, Microsoft Azure, or Google Cloud.Deep knowledge of AI governance, data privacy, cybersecurity, model risk management, algorithmic accountability, or emerging AI regulation and standards.Experience developing AI risk-taxonomy, AI inventory, impact-assessment, control-testing, assurance, or monitoring frameworks.Experience leading multidisciplinary teams or delivering enterprise-wide AI, data, governance, risk, or technology-transformation programs.Published academic research, industry papers, white papers, standards contributions, patents, or other recognized thought leadership in Responsible AI, AI governance, AI policy, AI ethics, or related fields.Experience engaging with regulators, standards bodies, policymakers, industry associations, or academic institutions.Ability to independently lead complex client workstreams from problem definition through implementation.Experience managing resources and stakeholders within a matrixed global organization.Success in this role will be measured by:Business value generated by AI and data-science solutions.Quality, accuracy, reliability, robustness, adoption, and production performance of deployed AI systems.Effective identification and mitigation of AI-related risks.Compliance with applicable Responsible AI policies, governance requirements, standards, and regulatory obligations.Successful implementation and adoption of AI-governance operating models, processes, controls, and assurance mechanisms.Reduction in operational cost, cycle time, risk exposure, or manual effort.Improvement in customer, employee, citizen, or broader business outcomes.Scalability and reusability of AI architectures, methodologies, governance frameworks, and accelerators.Successful delivery of client engagements and workstreams against agreed outcomes.Contribution to client relationships, proposals, business development, and market-facing thought leadership.Ability to influence senior client and Accenture stakeholders on AI strategy, Responsible AI, risk, and governance.Development, mentoring, and growth of data science and AI talent.Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 09/30/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:U.S. Employee Benefits | AccentureRole Location Annual Salary RangeCalifornia $94,400 to $293,800Cleveland $87,400 to $235,000Colorado $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Virginia $87,400 to $270,300Washington $100,500 to $270,300About AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at What We BelieveWe have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more hereRequesting An AccommodationAccenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.For details, view a copy of the Accenture Equal Opportunity StatementAccenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.Accenture is committed to providing veteran employment opportunities to our service men and women.Other Employment StatementsApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.SummaryLocation: New York, One Manhattan West, Corp; Milwaukee, 790 N Milwaukee St, Corp; Dallas, 5205 N OConnor Las Colinas, Corp; Columbus, 400 W. Nationwide Blvd, Corp; Kirkland, 416 6th Street South, Corp; Cincinnati, 4th Street, Corp; Cleveland, 1400 W 10th Street, Corp; Oklahoma City, 525 NW 11th St, Corp; Austin, 323 Congress Avenue, Corp; Albany, 69 State St, Corp; Chicago, Accenture Tower, Corp; St. Pete, 140 Fountain Pkwy, Tampa Corp; Hartford, 280 Trumbull, Corp; Pittsburgh, 1001 Liberty Ave, Corp; St. Louis, 4220 Duncan Avenue, Corp; Miami, 777 Brickell Ave, Corp; Sacramento, 1610 R Street, Corp; Raleigh, 555 Fayetteville, Corp; Minneapolis, 333 S 7th, Corp; Mountain View, 650 Castro, Corp; Scottsdale, 15279 N Scottsdale Rd, Corp; San Francisco, 415 Mission Street, Corp; Morristown, 1 Speedwell Ave, Corp; Denver, 999 18th St, Corp; Boston, 888 Boylston, Corp; Philadelphia, 2001 Market St, Corp; Des Moines, 909 Locust, Corp; Overland Park, 7300 W 110th Street, Corp; Los Angeles, 6181 W Centinela Ave, Corp; Charlotte, 1120 S Tryon St., Corp; Walnut Creek, 1255 Treat Blvd, Corp; Carmel, 11939 N Meridian St., Corp; Seattle, 1191 2nd Avenue, Corp; Houston, 1301 Fannin, Corp; Arlington, 1201 Wilson, Corp; Atlanta, 75 Fifth, Corp; Redmond, 8383 158th Avenue NE, Corp; Bentonville, 805 S Walton Blvd., Corp; Beaverton, 15220 NW Greenbrier, Corp; Nashville, 4101 Charlotte Ave., Corp; Detroit, 1240 Woodward, Corp; San Diego, 12680 High Bluff Dr, CorpType: Full time

Reference: R-2533472Posted: 2026-06-04Location: BELLEVUE, WA, United StatesSalary: $132000 - $264000/yearType: Regular/PermanentCompany: WalmartA Staff data scientist would be expected to play an important role in developing and scaling data science solutions in order to achieve outstanding business outcomes for Marketplace. Working together with a team of data scientists and machine learning engineers to develop, implement, and test scalable solutions for marketing intelligence domain. Consult with business stakeholders across Marketplace functions regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Mentor junior members and Individually execute multiple projects at the same time. Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up-to-date with the state-of-the-art in data science research. Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications.Position Requirements Very good knowledge of the foundations of machine learning and statistics and has made significant original contributions to the area in practice. Solid experience working with state-of-the-art agentic, Gen AI, supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce domain. Strong Python coding skills and able to work with at least one other programming language such as Java/Scala. Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark. Extensive experience building and deploying state of the art models (classic ML and Deep learning) Strong ability to understand the business and good stakeholder management capabilities and has mentored data scientists in developing ML solutions. Qualifications PhD with > 6 years of experience / Master’s degree with > 8 years of experience. Educational qualifications should be preferably in Computer Science or a related area. Experience should be relevant to the role. Good to have: Experience in ecommerce domain. Demonstrated success in data science platforms like Kaggle. About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and its fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum qualifications["Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field"]Preferred qualifications["We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.", "Successful completion of one or more assessments in Python, Spark, Scala, or R", "Data science, machine learning, optimization models", "Using open source frameworks (for example, scikit learn, tensorflow, torch)", "PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics"]Additional information(empty)

Job DescriptionAbout us Today’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office! The role We’re adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business—as well as our users' happiness and success. Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more. The team We're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice. The tech stack Our backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science. What you'll do • Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources, • Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc., • Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance, • Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products, • Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth, • Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at GridWhat we're looking for:, • Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science., • Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models., • Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields., • Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential., • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products., • Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it., • Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest)., • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence., • Domain Knowledge: Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products.Benefits Medical Dental Vision 401K Life Insurance Salary Range $120,000 - $140,000 per year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Health Advocates Network is hiring a Medical Lab Scientist with at least 1 year of recent experience! This is a full-time contract position at a nationally recognized hospital located in Seattle, WA. Shift: Nights (5 x 8 hrs) 11 Medical, Scientist, Lab, Lab, Night Shift, Healthcare, Staffing.

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the role Join Syndio to sell mission‑driven, category‑defining tech. We help companies get pay right. For almost a decade, we have led in pay equity software and now, with Decisions, we are delivering instant, explainable guidance for offers, promotions, and adjustments right where work happens. Decisions embeds fairness with policy‑aligned recommendations and auditable guardrails, helping customers hire faster, reduce attrition, strengthen compliance, and improve performance. You'll help the world's largest employers move from fixing pay once a year to getting it right every time by partnering with CHROs, Heads of Total Rewards, Legal, and Talent Acquisition. Expect high impact, true enterprise rigor, and a product you can be proud to sell. Why this job is exciting • Manage all aspects of the sales process, including lead generation and management, qualification, demo, evaluation, and close., • Define and execute territory plans and account plans to ensure you exceed your goals., • Develop and manage your sales pipeline, and simultaneously move a large number of transactions through the sales pipeline., • Become expert at product demonstrations, plus the legal and regulatory aspects of pay equity and other workplace equity topics., • Participate in the RFP process for prospects, including qualifying leads to ensure a good fit and providing a final review of all responses., • Operate with the mentality that sales is a team sport, and bring in Syndio SMEs—e.g. lawyer, labor economist, data scientist, testifying expert, CEO—to help you win and exceed your goals.About you, • You have more than 7+ years experience in sales— 5 as a closer, • Consistent overachievement of sales goals in large enterprise sales, • You have experience running and owning technology demos, • You have experience in outbound prospecting and generating leads in your territory, • You are proficient in Salesforce, Linkedin Sales Navigator, and Outreach (or outreach equivalent), • You have a highly disciplined approach to selling, • You are savvy, capable of curating a thoughtful approach to pay equity, diversity and inclusion, and workplace fairness for each individual client, • You're attracted to the challenge of a startup environment and can adapt to—and thrive—amidst change, • You bring a positive attitude, hustle, and persistence to your role, • You are an excellent communicator, able to build relationships quickly with your colleagues, clients, and prospects, • You're curious, a great listener who knows where to poke and prod with prospects to inspire them to take action and drive organizational change, • You know how to drive a deal and proactively lead prospects and customers (rather than reacting to their requests), • You are proficient with spreadsheets, presentation, and project management business applications, • You are committed to our mission of workplace equity and passionate about Syndio products Extra credit • Experience selling to compensation and total rewards professionals, • Overall understanding of the HR technology landscape, • Background in compensation, DEI, Business Intelligence/Analytics. Role progression • Within 2 months, you'll be fully ramped on product and solution content, and will have a territory plan., • Within 3 months, you'll be leading sales efforts at large enterprise accounts and be demo certified for all products and services., • Within 6 months, you'll have a pipeline, will be confident in your role, and will provide input into other areas of the business (e.g. marketing & product) based on what you're hearing from prospects.Why you'll love it here:, • ???? Competitive Compensation. For this role our base salary is targeted at $140- $145k base per year with a $280 - $290k at target earnings, with no cap. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • ???? Syndio Equity. So you can share in Syndio's success., • ???? Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave., • 16 weeks of paid parental leave, • ???? Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • ???? Life Insurance & Disability. Syndio covers the full premium., • ???? 401(k). To help you save for your future., • Fully remote model #LI-Remote The Interview overview Below you'll find an outline of the interview plan for our Account Executive position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min interview with a member of our Talent Team, • 45 minute zoom interview with the Hiring Manager, • 45 minute zoom interview with the SVP Sales, • Two 45 minute video interviews with team members, • Final presentation to a panel - 60 minutes, • In person meet & greet At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job Description ABOUT US E-commerce got real-time data infrastructure decades ago. Physical stores still have not. RADAR is changing that. RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture. We are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale. RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation. Inventory accuracy is only the beginning. We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond. Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology. OUR VALUES • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters., • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together., • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company., • Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters., • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work., • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints., • Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.ABOUT THE JOB We are seeking an experienced Staff Software Technical Program Manager to lead the development, delivery, and ongoing operations of fleetwide RFID solutions to retailers worldwide. The ideal candidate will combine technical expertise in software development and test with strong program management skills to drive successful product development and launch. Responsibilities: • Lead programs in software development, data governance, and feature implementation through the entire SWDL, including requirements management, architectural design, proof of concept/proof of experience, engineering pilots, unit testing, scale validation, fleet deployment, and sustaining engineering, • Define and drive success. Provide clarity and develop detailed execution plans for large, complex, ambiguous software programs. Successfully execute said plans by removing blockers and ensuring the proper sense of urgency while providing cross-functional visibility/reporting, • Identify interdependencies and bottlenecks, evaluate and optimize workflows, and dig deep when critical issues arise to ensure developers are unblocked and problems are escalated quickly/appropriately, • Look around corners for "what if" scenarios and develop detailed risk mitigation plans where appropriate based on risk level, • Switch gears regularly between the high level 10k foot view to detailed microscopic view for critical activities where needed based on audience, communicating information tactfully and effectively, • Drive software releases through rigorous testing and validation activities from unit level to E2E system level to ensure KPIs are met with clear exit criteria. Ensure best practices are met from a quality perspective to enable frequent deployments at scale (CI/CD, stability, additional automations, etc), • Manage/coordinate production issue RCAs and remediation, • Facilitate effective ways of working among various cross-functional teams not just within software, but partner teams such as Data Science, Systems Engineering, Product Management, Customer Experience, Deployment Operations, Embedded Systems, and Hardware teams, • Support key customer relationships and expectations management in collaboration with Customer Experience and Product, • Present regular status updates to executive stakeholders and cross-functional leaders, • Manage cloud costs and cost reduction initiativesABOUT YOURequired:, • Bachelor's degree in Computer Science, Computer Engineering, Data Science, or related technical field, • 5+ years of experience in software/infra program management, • 5+ years of experience as a software engineer, data scientist, or related field, • Demonstrated expertise in managing the complete software product development cycle, • Proficient with project management tools including Smartsheet, Jira, Confluence, and methodologies including Agile (SAFe), Waterfall, Scrum, etc., • Experience with test plan development and execution for various levels of SW validation, • Solid understanding of software development "V" process, • Excellent communication, leadership, and interpersonal skills, • Problem-solving mindset with the ability to navigate technical and organizational challenges in a start-up environment while setting up for long term success as we scale, • Ability to work on-site or hybrid in Seattle, WA (preferred) or Sunnyvale, CAPreferred:, • Familiarity with RFID and wireless technology, • Familiarity with retailer supply chain and inventory management, • Familiarity with cloud and backend services, • Familiarity with mobile applications development, • Familiarity with edge compute, shadow controllers, network architectures, • Familiarity with ring based deployments, feature flags, blue/green deployments, and health probes, • Familiarity with regulatory compliance requirements (SOC 1, SOC 2, pen testing), • Familiarity with containerization (K8s, K3s) and configuration management, • Familiarity with observability platforms and dashboards (New Relic, Grafana, Looker), • Familiarity with firmware development and hardware/software integration, • Familiarity with internationalization and localization, • Familiarity with writing PRDs and requirements tracking software, • Project management training/certificationWHAT YOU'LL DOIn your first 30 days, you will:, • Learn Radar's mission, technology stack and core values., • Complete onboarding and security compliance training., • Familiarization with ways of working and tooling used, including Jira, Confluence, JPD, BigPicture, Smartsheet, etc., • Familiarization with release workflows, teams, ceremonies, and reporting best practices., • Ask lots of questions!In your first 60 days, you will:, • Understand in detail the current state of SW infrastructure, • Understand in detail the H2 '26 and 2027 product roadmap, • Contribute to sprint planning, backlog grooming, and overall Scrum/SAFe model including task and bug management, • Start driving execution and delivery of engineering initiatives and reporting out, • Gatekeep for the Definition of Ready, Definition of Done, and the SW release strategy for your program(s), • Establish program ceremonies and reporting, • Ask more questions, align teams, ask why, challenge assumptionsIn your first 90 days, you will:, • Independently manage 1-2 programs, • Drive resolution of critical issues by collaborating with DRIs and XFN teams, • Contribute to the SW roadmap strategy and program increment planning, • Proactively identify and engage with potential downstream risks and opportunities, such as maximizing efficiency and reducing bottlenecks, and escalating when appropriate, • Contribute to capacity planning and prioritization exercises, • Keep asking questions and eventually be a thought leader At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $165,000 - $215,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

Job Description RareCyte is a Life Sciences Precision Biology company focused on the development of novel technology and products in spatial biology and liquid biopsy. Our platforms have been adopted by leading research institutions and pharmaceutical companies worldwide for translational research, drug discovery and clinical programs. The breakthrough Orion technology is revolutionary in the spatial biology market, enabling tissue analysis with 20 channel whole-slide multiplex imaging in a single run. RareCyte is looking for an Assay Development Scientist based in our Seattle, WA office. The successful candidate will work in the Precision Biology Services group and be responsible for developing new assays and running clinical trials in our liquid biopsy and spatial biology programs. We are looking for someone who enjoys helping bring new technologies to market, embraces challenges, and thrives in a dynamic and multidisciplinary environment. Responsibilities: • Develop robust assays for characterizing rare cells in human blood, including circulating tumor cells and circulating trophoblasts, and develop multiplex spatial biology assays for tissue using antibodies and automated staining instrumentation, • Perform testing, analysis and reporting of clinical trial samples in liquid biopsy and spatial biology, • Provide technical leadership for novel programs that expand the applications and utility of the RareCyte platforms, • Plan, execute, analyze and present experimental results for assay development programs, • Write milestone-based work plans for assay development services for pharma/biotech clients and for strategic academic collaborations, • Work with the leadership team and the Project Manager to achieve program goals in the expected timeline and within budget, • Deliver high quality client presentations and represent the company at scientific events, • Adopt a customer-oriented mindset and take ownership of projects by anticipating end-user needs (internal and external), • Establish experimental and QC protocols to transfer methods and reagents to Research Associates and the production team, • Support the applications team to increase platform adoption and solve customer challengesQualifications:, • PhD in molecular biology, biochemistry, genetics or a related field; oncology experience and/or placental development a plus, • 3+ years of Industry experience developing assays and using new technologies, • Ability to manage multiple projects simultaneously with attention to detail and quality to achieve aggressive turnaround times, • Experience developing antibody-based assays, • Experience with immunohistochemistry, immunofluorescence, microscopy and flow cytometry, • Familiar with biostatistics, prism software, • High attention to detail for lab work and presentations, • Excellent writing and presentation skills, • Creative thinker, self-driven and highly organized Compensation: Base Salary Range: $120,000 - $135,000 (annualized) Determining a base wage will be based on several factors which include skill set, level of education, experience and qualifications, as well as RareCyte internal equity. Some roles may also qualify for additional compensation such as bonus, commission, stock options and travel allowance. Benefits: At RareCyte, we support our employees in and out of the office. Click here to view a list of benefits offered to eligible employees. ---- We love talking to qualified candidates! Even if you don't fit the description perfectly, please still apply and we'll review your resume. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to RareCyte Human Resources at hr@rarecyte.com. RareCyte is committed to maintaining a safe and healthy workplace for all employees. If there are future COVID-19 or similar pandemic outbreaks, RareCyte will follow applicable recommendations or requirements from the Washington State Department of Health and other relevant public health authorities regarding vaccine implementation and workplace safety measures for all team members. Vaccination may become a condition of employment where required or deemed necessary to maintain a safe workplace. Employees or applicants who are unable to comply due to a qualifying medical condition, disability, or sincerely held religious belief may submit a request for a reasonable accommodation through Human Resources at hr@rarecyte.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.