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Description Hourly Wage Estimate: $65.90 - $84.97 / hour Learn more about the ___ for this job. The estimate displayed represents the typical wage range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. The typical candidate is hired below midpoint of the range. Introduction Are you passionate about the patient experience? At HCA Healthcare, we are committed to caring for patients with purpose and integrity. We care like family! Jump-start your career as a Clinical Lab Scientist CLS II today with Good Samaritan Hospital. Benefits Good Samaritan Hospital offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include: • Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation., • Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more., • Free counseling services and resources for emotional, physical and financial wellbeing, • 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), • Employee Stock Purchase Plan with 10% off HCA Healthcare stock, • Family support through fertility and family building benefits with Progyny and adoption assistance., • Referral services for child, elder and pet care, home and auto repair, event planning and more, • Consumer discounts through Abenity and Consumer Discounts, • Retirement readiness, rollover assistance services and preferred banking partnerships, • Education assistance (tuition, student loan, certification support, dependent scholarships), • Colleague recognition program, • Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence), • Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income. Note: Eligibility for benefits may vary by location. Come join our team as a Clinical Lab Scientist CLS II. We care for our community! Just last year, HCA Healthcare and our colleagues donated $13.8 million dollars to charitable organizations. Apply Today! Job Summary and Qualifications Our Clinical Lab Scientists (level II) perform clinical testing in one or more of the following areas: blood bank, chemistry, serology, hematology, urinalysis, coagulation, special chemistry, microbiology and manual tests.Our team is amazing, we consider ourselves a family who work hard to support each other and we are looking for someone who feels patient care is as meaningful as we do. If that is you, come be a part of what makes us great and apply today! • You will perform automated, semi-automated and manual procedures in the fields of bacteriology, parasitology, hematology, coagulation, serology, chemistry, urinalysis, immunology, and immunohematology. According to established procedures and policies, • You will perform preventative maintenance on laboratory instrumentation, interpret results as to their accuracy, acceptability and critical limits and organizes work to meet established deadlines and record all data obtained, • You will work actively and be cooperative with nursing and other hospital staff to ensure timely patient care as well as assist with regulatory compliance, • You will be responsible for training lab personnel and are expected to perform in-charge assignment in the absence of a manager What qualifications you will need: • Current Clinical Laboratory Scientist license per CA State Board required, • Bachelor’s Degree in Medical Technology or equivalent from an accredited college or university required, • Minimum five years experience as a Clinical Laboratory Scientist required ___ has been serving Silicon Valley since 1965, giving patient's access to highly-trained physicians and advanced technology. Our 470+ bed facility is a recognized leader in advanced cardiology services and provides a full array of diagnostic and interventional coronary peripheral services. Other specialized programs include echocardiography, Vascular Sonograph and EKG services. Good Samaritan is a Joint Commission Accredited comprehensive stroke center. We are also one of 3 hospitals in the US to receive a 5th consecutive Outstanding Achievement Award from the American College of Surgeon’s Commission on Cancer. Among these accomplishments, our facility is a Bay Area Parent Magazine Hall of Fame recipient for “Best Place to Have a Baby”, complete with a CCS certified Level III neonatal ICU with pediatric surgery specialization. HCA Healthcare has been recognized as one of the World’s Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses. "The great hospitals will always put the patient and the patient's family first, and the really great institutions will provide care with warmth, compassion, and dignity for the individual."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Clinical Lab Scientist CLS II opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews. Unlock the possibilities and apply today! We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: * Career development with an international company where you can grow the career you dream of. * Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. * An excellent retirement savings plan with high employer contribution · Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. * A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. * A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. For years, Abbott’s medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether it’s glucose monitoring system, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks. The Opportunity The primary function of a SENIOR CLINICAL EVALUATION SCIENTIST/PROJECT MANAGER is to combine understanding of scientific and research methodology, medical device regulations and guidelines, and product and therapeutic area knowledge to support Regulatory Affairs medical device submissions in the EU for CE Marking of new devices and maintaining of CE Mark for existing devices in accordance with MEDDEV 2.7/1 Rev 4, MDD, AIMDD, MDCG Guidance documents, and EU MDR 2017/745. This role will support the Vascular product lines. WHAT YOU’LL DO * Manage, provide guidance, and oversight of CER Medical Writers’ development of Clinical Evaluation Reports and associated documents; set deliverables and project timelines and ensure timelines are met. * Facilitate communication and exchange of documents between stakeholders (e.g., internal personnel such as Regulatory Affairs, R&D Engineering, Clinical Engineering, A&P and Marketing, Library Services, Quality Engineering, Post-market Surveillance Group, Clinical Affairs, Risk Management, Program Management, as well as external vendors such as CROs, Medical Writers and Physician Reviewers). * Review, edit, and write portions, as needed, of Clinical Evaluation Reports and associated documents. * Draft and/or lead the development of regulatory responses for Notified Body and regulators’ questions upon review of submissions. * Provide strategic guidance on regulatory requirements, pertaining to clinical data and clinical evaluations, to new product development teams and sustaining teams. * Compliance with applicable corporate and divisional policies and procedures. * Participate in and support internal and external audits and responses to audit findings as appropriate, in root cause analysis, preventive or corrective actions, effectiveness monitoring, and other quality metrics. * Develop and update new policies, as appropriate, for processes and procedures relating to the clinical evaluation process, and train key personnel on them. * Function independently as a decision-maker on CER-related regulatory issues. Required Bachelors Degree (± 16 years) Minimum 5 years within healthcare-focused regulatory and/or compliance Preferred Qualifications * * Master’s Degree, RN, PharmD, PhD, or MD preferred. * 5-7+ years of experience in clinical research, clinical affairs, regulatory affairs, or quality systems, in the medical device or pharmaceuticals industry. * 3-5+ years of experience writing, reviewing or leading development of CERs and related documents in accordance with MEDDEV 2.7/1 Rev 3 and 4, the medical device directives (MDD 93/42/EEC; AIMDD 90/385/EEC) and the EU MDR 2017/745. * Scientific/research background; training and degree in science, engineering, or medical fields; understanding of research design, methodology, and statistics. * Thorough understanding of the EU MDR 2017/745, MDD 93/42/EEC; AIMDD 90/385/EEC; MEDDEV 2.7/1 Rev 4, MDCG Guidance on clinical evaluations, SSCP, PMCF plans and reports, and other international harmonized standards and guidelines related to medical devices, clinical studies, and quality systems. * Project management experience. * Excellent written, verbal and presentation skills in relevant areas of clinical/technical applications. * Strong command of medical and surgical terminology. * Knowledge of Cardiovascular devices and technologies. * Demonstrated ability to identify and adapt to shifting priorities and competing demands. * Proven ability to deliver high-quality work within tight timelines. * Highly-developed interpersonal skills, and strong attention to detail. * Able to travel as needed (<10%). The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.

Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Staff Data Scientist – Post Sales Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities • Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring., • Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion., • Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn., • Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals., • Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams., • Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You • Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment., • Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring., • Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy., • Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders., • Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Design, implement, and deploy machine learning models with a focus on generative AI (diffusion models, LLMs, and related architectures) Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs Develop and maintain scalable data pipelines supporting trainin

Job function: Engineering and Information Technology.

Credit Strategy Data Scientist.

Experience mentoring junior team members and contributing to the data science community. Machine Learning Scientist II - CRM Machine Learning Science. Join Expedia Groups newly formed Customer Relationship Management (CRM) Machine Learning Science team in San Jose, where your work will directly infl

About Us: Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years.We are dedicated towards fulfilling the IT needs of our clients.From staffing to full implementation of projects we provide the highest quality IT services.We intend to deliver

Job Description About Evolutia Bio: Evolutia Bio is a leading biotechnology company focused on revolutionizing industrial manufacturing of pure, consistent, and sustainable ingredients. Evolutia Bio’s team has a proven track record of devolving and commercializing bio-based manufacturing processes and products to benefit our partnerships and their customers. Position Title: Scientist, Genetic Engineering Position Summary: In this role, you will specialize in applying multiplexed HTP approaches for enzyme and pathway host engineering in microorganisms (Yeast and E.coli). You will be responsible for identifying improved strains based on performance and yield of target compounds as well as transferring technologies between company and manufacturing partners. Experience using synthetic DNA and gene-editing tools to create and integrate large, diverse DNA libraries for HTP screening, as well as constructing large-genome wide knockouts and over-expression libraries will prove pivotal. Education: MS or Ph.D. in genetics, molecular biology, microbiology, biochemistry, chemical engineering, enzyme engineering, or related fields. Minimal Qualifications: • Hands on experience working with lab automation equipment such as robotic liquid handlers (e.g., TECAN Fluent, Opentrons), • Maintain timely documentation of laboratory work using Benchling and supporting software, • Practice excellent housekeeping and safety, • Excellent communication, documentation, organization and presentation skills, • Ability to take ownership, prioritize responsibilities, multi-task and remain flexible with changing needs, • Have good record keeping, ability to write SOPs, • A strong desire to grow as a scientific researcher, learn new techniques and adopt new technologies for process improvement Essential Duties & Responsibilities • Build site saturation mutagenesis and combinatorial libraries for enzyme evolution campaigns, • Build Yeast/Bacterial strains for HTPS and for Production scale settings, • Apply a broad range of analytical methods including PCR, DNA electrophoresis, spectrophotometry, DNA extraction, DNA sequencing, molecular cloning, gene editing (CRISPR, HR), protein extraction, and other plate-based assays to QC and validate strains, • Utilize yeast physiology knowledge to identify, engineer and resolve biosynthetic pathway bottlenecks Follow protocols for building/cloning multi-gene DNA assemblies/libraries in yeast, • Take an active role in sequence/activity data analysis and offer strategic recommendations based on interpretation of data for subsequent strain/enzyme engineering decisions., • Improve protocols for high efficiency transformation of libraries into expression host microbes such as yeast and in-house automation platforms and high throughput workflows to increase experimental throughput, • Provide written documentation and specifications of genetic engineering workflows (SOP’s), • Work in partnership and collaboration with molecular, computational, fermentation and analytical scientists to meet company goals/milestones, • Participate in a rapid “Design/Build/Test/Learn” cycle with other lab scientists to meet company goals/milestones, • Collaborate closely with upstream process team to develop strains/enzymes toward commercial targets, report writing and tech transfers, • Coordinate with assay team to perform hypothesis-driven wet-lab experiments in microtiter plates and shake flasks to improve strain/enzyme metric, • Communicate and present experimental set up and results to various stakeholders across functional teams and partners Preferred Experience: • 2+ years’ experience in enzyme/strain engineering of eukaryotic microorganisms e.g., S. cerevisiae and P. pastoris using high throughput DNA library construction techniques in an industrial research setting (Biotechnology, Pharmaceutical, or Life Sciences Industries)., • Background in ELN and LIMS for data capture and tracking, gene editing technologies and working in a high-throughput environment strongly preferred for production of natural products and/or small molecules., • Ability to perform repetitive tasks using hands and wrists., • Subject to extended periods of sitting and/or standing., • Onsite in Sunnyvale, CA, • Must be authorized to work in the U.S., • No Visa sponsorship, • No Travel Required Compensation & Benefits: • Competitive salary package, • Generous PTO and company holidays, • Comprehensive medical, dental, and vision insurance, • Life, AD&D, short- and long-term disability insurance

Job DescriptionClinical Lab Scientist (Hematology)Location: Sunnyvale, CAWhy Ascend?Come work for a company that is transforming the industry! We are Eurofins Ascend Clinical, LLC., one of the highest volume clinical laboratories in the United States. With the use of the most advanced tools and technology, we process millions of tests each month. For over 30 years, we have been delivering industry-leading service and excellence in testing. At Ascend, we are relentless about innovation and growing to pioneer the future of clinical and environmental laboratory testing. Ascend is unlike most companies, offering the discipline of a healthcare leader and the mentality of a tech startup. As a company that is on the leading edge, we are seeking individuals with a similar mindset who enjoy a dynamic, fast-paced environment. Job Summary: As a Clinical Laboratory Scientist (Hematology) you will perform routine laboratory testing as well as basic instrumentation maintenance and troubleshooting and accurately perform routine laboratory testing in accordance with protocols established. The CLS will correlate and integrate other patient data when interpreting test results and report results, which are substantiated by the proper use of appropriate quality control systems. The CLS will also use professional judgment and have an in-depth knowledge of laboratory techniques, scientific principles, quality control and instrument maintenance. This is a per diem role. Essential Functions: • Follow all company policies and procedures: general policies, Exposure Control, Chemical Hazard, Illness and Injury Prevention Program and Quality Assurance Program. Understands the hazards associated with failing to follow those procedures, • Perform Quality Control (QC) procedures and interpretation of clinical values, including critical values and delta checks. Knows when test results are reportable and what to do in case of Quality Control failure., • Perform and log routine daily, weekly and monthly maintenance and calibration of laboratory instrumentation according to protocols, • Perform, evaluate and report all routine laboratory tests in chemistry and/or immunology under the supervision of a licensed Clinical Laboratory Scientist and according to established AC protocols. Strictly adheres to written procedures, • Know protocol for handling critical values including rerunning tests, review of past results and phoning unit with results. Interact with Client Services, when necessary and appropriate, when results need to be phoned. Handle and investigate complaints, problems and discrepancies, as needed, • Apply current scientific principles to clinical situations and demonstrate thorough knowledge of instrument operation., • Participate in the Quality Assurance program and in in-service education programs, • Strong Knowledge of accepted clinical laboratory practice and procedures including handling of potentially infectious material and familiarity with California law relating to the practice of medical technology., • Moderate computer skills, good quality control and instrument maintenance knowledge., • Strong communication skills, both written and verbal., • Analytical problem-solving skills, proficiency in performing detailed tasks thoroughly and completely, and the ability to follow complicated instructions with accuracy., • Good organizational skills., • Strong knowledge of multiple specialties and of quality control and calibration., • Strong knowledge of lab equipment and procedures., • Clinical Laboratory Scientist license from the State of CaliforniaCompensation:, • $55-65/hr, • Compensation may vary for different individuals in the same role based on several factors, including but not limited to individual competencies, education/professional certifications, experience and performance in the role.Benefits: As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options. Ascend is an Equal Opportunity Employer - M/F/Disabled/Veteran Eurofins Ascend Clinical, LLC is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law. The company’s policy is to recruit, hire, train, promote and administer all employment-related matters on the basis of an individual's qualifications, abilities and efforts without regard to protected status. Powered by JazzHR qPON1g2Cce

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff AI Scientist for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact Your Impact • AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications., • Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems., • System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications., • Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations., • Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers., • Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence., • Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions., • Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring., • Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs.Qualifications Your Experience * 8+ years in software engineering, with 5+ years in Data science/AI/ML experience. * Experience deploying enterprise AI/ML systems. * Understanding of the AI lifecycle. * Experience with distributed systems and streaming data. * Hands-on experience with Generative AI and LLMs. * Proficiency in AI/ML frameworks and cloud platforms. * Strong programming skills (Python and C++). * Excellent communication skills. * Masters/Bachelors degree in Computer Science or related field. Preferred Qualifications: * PhD degree in Computer Science , Applied Mathematics , Machine Learning or related computation field. * Experience with open-source AI projects. * Prior technical lead role for AI/ML projects. * Familiarity with cybersecurity principles for AI. What we are looking for? * Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn). * Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact. * System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles. * Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts. * Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction. * Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams. * Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes. * Continuous Learning: Passion for staying up-to-date with the latest advancements in AI. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Job DescriptionSalary: $125k - $145k About Oxford Biotherapeutics: Oxford BioTherapeutics (OBT) is a dynamic, growing, international biotechnology company based in Oxford, UK, and San Jose, CA. We are a clinical stage oncology company with a pipeline of immunooncology and antibody-drug conjugate-based therapies. OBT's IO discovery process provides unique insight into the cancer-immune cell synapse and has identified several novel IO candidates for cancer therapy. Discovery of novel tumor antigens and immune cell surface proteins at OBT is performed using the proprietary Oxford Genome Anatomy Project (OGAP) database. OBT currently has one ADC in phase 1b clinical trials in collaboration with Menarini. Job Description We are seeking a motivated and detail-oriented Scientist to join our histopathology lab within the Target Validation Team at our San Jose, CA site. The appropriate candidate will be expected to independently execute the necessary histopathology techniques for evaluating oncology therapeutic targets. This role will support our target validation efforts by using immunohistochemistry (IHC), immunofluorescence (IF), in situ hybridization (ISH), microscope slide scanning, whole-slide image analysis and troubleshooting experience to aid in the development of new assays and informative assay data. The majority of responsibilities will be focused on IHC, including the screening, assay development, and validation of IHC antibody clones, oncology indication-focused tissue procurement, sample processing and embedding (FFPE and FF), sectioning (FFPE and FF), and tissue-based assay development (both manual and automated). Hands-on knowledge of histology and oncology fundamentals is required. Responsibilities will include, but are not limited to, the following: • Independently design and execute the selection of in-house antibody clones to develop, validate and utilize chromogenic IHC assays against novel cancer drug targets., • Design and perform single and multiplexed IHC, ISH, IF and similar assay experiments to support therapeutic drug development decision making., • Process tissues and cell pellets into FFPE and frozen sample blocks; section FFPE and frozen samples, and perform staining primarily using Leica Bond autostainers., • Digitize microscope slides using slide scanners and independently summarize results of lab experiments in ELN and PowerPoint presentation formats in a timely manner., • Collaborate effectively in a matrix-managed organization to drive advancement of early-stage projects into translational and clinical development., • Be relied upon as a technical expert in the IHC field; provide guidance to colleagues and collaborators, and mentorship to more junior lab colleagues., • Perform general day-to-day lab tasks including timely archiving of new slides and samples, equipment maintenance, consumables ordering, shipping/receiving, etc.. Required Qualifications and Skills: • PhD +4 years, or Masters +6 years, or Bachelors +8 years or more of hands-on experience working in histology and IHC related labs, preferably supporting cancer research in an industry setting., • Extensive hands-on experience developing, utilizing, and interpreting immunohistochemistry (IHC) assays against novel protein targets, using both single and multiplex IHC techniques primarily on FFPE sample slides., • Extensive hands-on experience in laboratory histology, including preparation of tissue samples into FFPE and FF blocks, preparation of cell pellet control blocks, cryostat and microtome sectioning, troubleshooting chromogenic IHC andISH experiments, and independently identifying appropriate next steps in the development of robust, sensitive and specific tissue biomarker assays., • Experience with Leica Bond autostainers and reagents relevant to optimizing new IHC assays, typically chromogenic assays., • Experience with microscope slide scanners for brightfield and fluorescent imaging, and general experience utilizing whole-slide image analysis software such as HALO. Preferred Qualifications and Skills: • Knowledge in cancer biology, immuno-oncology, and tumor histopathology are each a plus., • Strong track record of developing and implementing strategic initiatives to improve scientific and/or operational activities., • Relevant experience working with service providers and CROs in the histology space., • Excellent organization skills, and previous successes working a growing and fast-paced work environment., • Experience regularly presenting IHC assay results in group settings., • Top candidates will be collaborative and team oriented, creative problem solvers, resilient to change, and interested in learning opportunities., • Experience with cell culture and related molecular biology assays (WB/ELISA/etc.) are additionally a plus. One of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer comprehensive benefits. Benefits Offered: Medical, dental and vision insurance FSA (Flexible Spending Account) STD, LTD, Basic Life, Supplemental Life and AD&D Insurance 401(k) Plan Up to 120 hours of Paid Time Off in your first year (increasing with tenure) 5 sick days per year 11 paid holidays Employee Referral Bonus Program Annual training budget for professional development Annual bonus program New hire stock options Team building events and activities Equal Opportunities Statement OBT is an equal opportunity employer and prohibits unlawful discrimination based on race, color,religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age,disability, marital status, and veteran status. All qualified applicants will receive consideration foremployment. Why Join Us We promote a culture of innovation, responsibility, and commitment to our goals and objectives.Together, we believe, we can pool our resources and our uniqueness to develop novel, robust curesfor one of the most challenging health conditions today. We recognize that our team is only as goodas the people in it. Our people have used the words friendly, collaborative, and hard working todescribe the culture here at OBT. This is why, while we strive to ensure that we hire only the bestpeople. We also strive to provide a working environment that is based on cooperation, innovation,and mutual respect.

Job Description Data Scientist Fraud Analytics & Strategy (Hybrid | San Jose, California) Overview: We are seeking a Data Scientist, Fraud Analytics & Strategy to join a dynamic fraud risk and data science team. The ideal candidate has hands-on experience using data to detect fraud, design effective strategies, and build predictive models that enhance customer trust and minimize losses. Responsibilities: * Analyze large-scale data to identify and mitigate fraud trends * Build, test, and refine data models and fraud detection rules * Design and maintain dashboards and KPI reports (Tableau or AWS Quicksight) * Collaborate with product and engineering to deploy fraud prevention strategies * Present findings and business recommendations to leadership and stakeholders Qualifications: * Bachelor's degree in Data Analytics, Statistics, Mathematics, or a related field * No more than 2 years of experience in data analytics, fraud risk, or data science * Proficiency in SQL, Python, and Tableau (required) * Strong analytical and problem-solving skills * Excellent communication and storytelling abilities with data * Based in or near San Jose, CA (remote considered for highly qualified candidates) * U.S. citizen or authorized to work in the U.S. (no visa sponsorship) Bonus Skills: * AWS or cloud data tools (e.g., AWS Quicksight) * Experience in the e-commerce, fintech, or payments industries * Knowledge of fraud typologies and machine learning applications Type: 12-Month Contract | Day Shift (M-F, PST) | Hybrid (San Jose, CA)

Job Description Note: This is a hybrid position, so candidates must be in San Jose. JOB DESCRIPTION: We are looking for a talented, enthusiastic, and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis, and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain. We’d love to chat if you have: • Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or related field, or equivalent practical experience, • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, and Excel, including key data science libraries, • Proficiency in data visualization, including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives, including development of dashboards and visualizations, ie, Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how and ability to work with your team to make a big impact., • Desirable to have experience or aptitude in solving problems related to risk using data science and analytics, • Design rules to detect/mitigate fraud, • Develop Python scripts and models that support strategies, • Investigate novel/large cases, • Identify root cause, • Set a strategy for different risk types, • Work with product/engineering to improve control capabilities, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Utilize data analysis to design and implement fraud strategies, • Collaborate with cross-functional stakeholders, including product managers and engineering team,s to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Data analytics and models, • Rule development, • Dashboard Creation, • Project Management, • Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or related field, or equivalent practical experience., • Experience using statistics and data science to solve complex business problems., • Experience in SQL, Python, and Excel, including key data science libraries., • Experience applying statistics and data science to tackle intricate business challenges, especially in Fraud mitigation., • Experience in data visualization, including Tableau., • Experience working with large datasets.Company DescriptionDiverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow. Specialties / DSG Core Competencies: • Healthcare Information Management, • Healthcare Information Technology Discovery(HID), • Project/Program Managers, • Change and Configuration Managers, • Quality Assurance/Testers, • Network Security, • Database Developers and Administrators, • Information Assurance, • Web Development, • HelpdeskDiverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow.\r\n\r\nSpecialties / DSG Core Competencies:\r\n* Healthcare Information Management\r\n* Healthcare Information Technology Discovery(HID)\r\n* Project/Program Managers\r\n* Change and Configuration Managers\r\n* Quality Assurance/Testers\r\n* Network Security\r\n* Database Developers and Administrators \r\n* Information Assurance\r\n* Web Development\r\n* Helpdesk

Experience with relational or NoSQL databases such as Oracle/Cassandra/Redis or similar.

The Target Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target's digital experience. The Target Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target's digital experience. Every Da

Overview: We are seeking a highly analytical and business-savvy Marketing Data Scientist to join our team. In this role, you will leverage advanced analytics, statistical modeling, and machine learning to uncover insights, optimize marketing campaigns, and drive data-informed decision-making. You wi

Job Description Role: Data Scientist - 2 Work location: San Jose, CA – Onsite Job Type: Contract Job Description: Item embedding/recommendation engine Deep learning and recommendation engine @ scale for item and product embeddings Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP Requirements Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP

Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.

The Target Data Sciences - Supply Chain Optimization team leverages operations research, simulation, and machine learning to help Target makes intelligent supply chain business decisions. JOIN TARGET AS LEAD DATA SCIENTIST u2013 SUPPLY CHAIN OPTIMIZATION About us: Working at Target means helping all

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of., • Free medical coverage for employees* via the Health Investment Plan (HIP) PPO, • An excellent retirement savings plan with high employer contribution, • Tuition reimbursement, the ___ student debt program and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree., • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune., • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Santa Clara, CA location in the Vascular division. Abbott Vascular provides innovative, minimally invasive and cost-effective products for treatment of vascular disease. Our extensive portfolio includes drug-eluting stents, bare metal stents, guide wires, balloon dilatation catheters, imaging catheters and software, vessel closure devices and peripheral stents. The Sr. Research Scientist Provides scientific expertise throughout the development and implementation of clinical studies. Writes/manages clinical trial protocols, protocol amendments, clinical study reports, clinical trial registrations and results postings, clinical study project timelines and scientific publications. Interacts with various study support groups cross-functional teams in order to assist in clinical strategy, the development of plans, reports and project deliverables. Interacts with regulatory agencies as needed and will use their scientific and medical knowledge in order to provide strategic communication to staff as well as study sites as directed by your manager. What You’ll Work On • Facilitates development of clinical strategy and trial design by interacting with study PIs, key opinion leaders (KOLs) and collaborating cross functionally with other departments including Global Clinical Operations, Research & Development, Regulatory Affairs, and Biostatistics., • Writes, study protocols, protocol amendments, informed consents, study reports, scientific presentations and papers for publication by evaluating scientific literature, analyzing scientific data and staying abreast of current clinical practice., • Presents scientific data by communicating accurate, succinct summaries of clinical results at industry gatherings, investigational meetings and regulatory agency meetings., • Works collaboratively with R&D, Clinical R&D, Regulatory Affairs, Library Services, Product Performance Group (PPG), Quality Engineering, Clinical Affairs or Clinical Science, Risk Management, Clinical Project Management, external CROs or Medical Writers, Training, Marketing and Sales, Senior Management and investigational sites., • Conducts team meetings, drafting and sending routine correspondence (e.g., newsletters) and/or by presenting regular updates to senior staff., • Creates, manages, or participates in clinical study timelines, and budgets by utilizing the appropriate project management tools, selecting providers or external medical writers, managing vendor contracts as requested, and ensuring expenditures are within budgetary guidelines., • Throughout study, when appropriate, works cross functionally with clinical field teams and data management to identify missing data, uses metrics regularly to ensure data completeness., • May work closely with external groups, such as core laboratories, to assess and interpret data., • Facilitates regulatory submissions and communications by communicating with Regulatory Affairs during the submission process. Generate documents to support regulatory submission for product and/or respond to questions from regulatory authorities about existing submission., • Interprets results in preparation for product applications by evaluating clinical and scientific and risk data and literature, and staying abreast of current clinical practice., • Participates in and supports audits., • Comprehensive knowledge of a particular technological field., • Uses in-depth knowledge of business unit functions and cross group dependencies/ relationships., • Is recognized as an expert in work group and across functions., • Will perform this job in a quality system environment., • Failure to adequately perform tasks can result in noncompliance with governmental regulations., • Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors., • Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Has broad knowledge of various technical alternatives and their potential impact on the business. EDUCATION AND EXPERIENCE YOU’LL BRING Required Experience • Bachelor’s degree in related field, • Minimum 8 years experience, • Experience in clinical trials, working in a regulated environment., • Experience in medical and scientific writing., • Comprehensive knowledge of a particular technological field. Preferred Experience • Familiarity with one or more data analysis software (such as Excel, Tableau, Power BI) is highly desirable., • PhD, MD, PharmD or MSN preferred, or BA/BS with an equivalent combination of education and work experience • Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year. Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on Facebook at ___ and on Twitter @AbbottNews and @AbbottGlobal. The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.

Job Description JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Wed love to chat if you have: • Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Design rules to detect/mitigate fraud, • Develop python scripts and models that support strategies, • Investigate novel/large cases, • Identify root cause, • Set strategy for different risk types, • Work with product/engineering to improvement control capabilities, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Utilize data analysis to design and implement fraud strategies, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Data analytics and models, • Rule development, • Dashboard Creation, • Project Management, • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience., • Experience using statistics and data science to solve complex business problems., • Experience in SQL, Python, Excel including key data science libraries., • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation., • Experience in data visualization including Tableau., • Experience working with large datasets.

Job Description If you post this job on a job board, please do not use company name or salary. Experience level: Mid-senior Experience required: 3 Years Education level: Bachelors degree Job function: Finance Industry: Financial Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain. Key Job Functions • Design rules to detect/mitigate loss, • Investigate novel/large cases, • Identify root cause, • Set strategy for different risk types, • Work with product/engineering to improvement control capabilities, • Develop and present strategies and guide execution, • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry., • Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience., • Experience using statistics and data science to solve complex business problems., • Proficiency in SQL, Python, Excel including key data science libraries., • Experience working with large datasets., • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes., • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics., • Development of dashboard and visualizations to track KPI of credit strategies implemented, • Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers., • Utilize data analysis to design and implement credit strategies, • Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers., • Data analytics, • Rule development, • Dashboard Creation, • Project Management, • Interview process: Multiple (At home screening, 1 technical interview with senior team member, 1 interview panel with hiring manager and team member)., • Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience., • Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry., • Experience using statistics and data science to solve complex business problems., • Proficiency in SQL, Python, Excel including key data science libraries., • Experience working with large datasets., • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics., • Experience with AWS, payment rule systems, and knowledge of credit products.

Job DescriptionAssociate Fraud Strategy Data Scientist (Hybrid | San Jose, CA) (12-Month Contract | Potential to Extend | U.S. Citizens or Authorized Workers Only) Job Overview We're seeking a highly analytical and motivated Associate Fraud Strategy Data Scientist to join a leading fintech organization's Fraud Risk Strategy team. This role is perfect for an early-career data professional (02 years of experience) who's ready to apply data science and analytics to solve real-world fraud and risk challenges in eCommerce, online payments, and digital transactions. Youll support the design, testing, and optimization of fraud detection models and rules, working closely with product and engineering partners to enhance user trust, reduce losses, and protect our customers. Key Responsibilities * Analyze and model large, complex datasets to detect, prevent, and mitigate fraud across multiple digital channels. * Apply statistical and machine-learning techniques (regression, classification, feature engineering, clustering) to identify fraudulent patterns and emerging risks. * Develop and maintain SQL-based datasets, dashboards, and visualizations to monitor key performance indicators and strategy outcomes. * Partner with senior data scientists, analysts, and risk strategists to implement and evaluate fraud detection models. * Communicate analytical findings, insights, and recommendations clearly to technical and business stakeholders. * Use Tableau or AWS Quicksight to design visual dashboards that support fraud strategy decisions. * Conduct ad-hoc investigations and reporting to support ongoing fraud prevention initiatives. Required Qualifications Experience: * Maximum of 2 years in risk analytics, data analysis, or data science, ideally within eCommerce, online payments, user trust/risk/fraud, or product-abuse investigations. Education: * Bachelor's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining, or a related quantitative field; or equivalent hands-on experience. Technical Skills: * Strong SQL proficiency for querying and manipulating large datasets. * Hands-on Python experience with data-science libraries (NumPy, Pandas, Scikit-learn, etc.). * Proficiency with Excel for exploratory and statistical analysis. * Demonstrated experience applying statistics and data science to solve complex business problems, preferably related to fraud detection or risk mitigation. * Experience creating data visualizations and dashboards using Tableau or AWS Quicksight. * Comfortable working with large-scale datasets in cloud or enterprise environments. Preferred Skills * Familiarity with fraud typologies, payments data, or rule-based detection systems. * Understanding of data pipelines (ETL), predictive modeling, and A/B testing. * Excellent written and verbal communication skills with an ability to translate analytics into actionable business insights. Position Details * Type: 12-Month Contract (covering multiple employee leaves) * Schedule: Monday - Friday | Day Shift * Location: Hybrid San Jose, CA (local candidates only) * Relocation Assistance: Not provided Why Join This role offers the opportunity to: * Gain hands-on experience with fraud analytics and risk modeling at scale. * Work alongside top data scientists and fraud strategists, shaping digital trust and security. * Develop advanced technical and analytical skills in a collaborative, growth-oriented environment.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.Key Responsibilities • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve LLM algorithms to work with other models such as computer vision models, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities, • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption, • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments, • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation, • Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and MLRequirements:, • Degree in Computer Science, Mathematics, or a related field, • 8+ years of experience in applied ML research and production deployment, • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production, • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production, • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems, • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP, • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse, • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks, • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Job DescriptionThe CompanyGridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. At Gridmatic, we foster a collaborative and inclusive culture where learning and growth are constant. We move quickly, solve problems with integrity, and balance environmental responsibility with data-driven excellence. The RoleWe are looking for an AI Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves applied research, and hence the ideal candidate will possess a deep understanding of forecasting techniques, and will develop the knowledge and understanding necessary to apply them to energy markets. They will investigate new technologies to better solve problems we already model, as well as designing solutions to problems we don’t yet solve. In addition, they will work to generalize these solutions so they can be applied more broadly, including on academic datasets for the purpose of sharing with the academic community via publication. A successful candidate will embrace constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.What you might work on • Design and implement state of the art deep generative models to capture distributions of quantities in the energy markets, • Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems, • Design, perform, and analyze experiments for new ML techniques, as well as consult on those tasks for others on the ML team, • Keep abreast of latest advances in ML research in order to consider if any new methods are especially promising for problems in the electricity market space, • Generalize and unify problem frameworks across electricity markets to utilize the same solutions across markets, • Author research papers in the fields of generative modeling / forecasting / decision making under uncertaintyYou might be a good fit if you:, • PhD in ML, statistics, or a related quantitative modeling field, • A strong publication record: NeurIPS, ICLR, ICML; and/or papers on forecasting and generative/probabilistic models in CV/NLP/Speech venues., • Proven experience researching and implementing deep learning models, • Enthusiasm for learning, • Understanding of data structures, data modeling and software architecture, • Deep knowledge of math, probability, statistics and algorithms, • Fluency in Python and machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, numpy, and pandas)., • Excellent skills in communication and teamwork #LI-DNIFAQ What’s your policy on remote work?We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week. How does the interview process work?We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team. Join our team and make a difference! Click below or email us at . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities • Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve Computer Vision algorithms to work with other models such as LLMs, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience., • Preferred: PhD or equivalent research experience in Computer VisionProfessional Experience - Minimum, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Knowledge of modern deep learning techniques and Generative AI for photography, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job Description Position: Data Scientist - Fraud Strategy - 12 month Contract Trisian-Global Consulting LLC is seeking a highly skilled and experienced Data Scientist for a 12 month contract in San Jose, California. Hybrid environment, must be local to San Jose. NO Sponsorship, C2C, H1B, OPT etc - must be USC or Green Card Holder for W2 Engagement with Client. As a Data Scientist, you will be responsible for developing and implementing data-driven strategies to identify and prevent fraud for our clients. You will work closely with our team of experts to analyze large datasets, build predictive models, and develop fraud detection algorithms to identify potential fraudulent activities This position will support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation and requires experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Key Responsibilities: • Design rules to detect/mitigate fraud, • Develop python scripts and models that support strategies, • Investigate novel/large cases, • Identify root cause, • Set strategy for different risk types, • Work with product/engineering to improvement control capabilities, • Develop and present strategies and guide execution, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Utilize data analysis to design and implement fraud strategies, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Minimum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining., • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Proficiency in AWS Quicksight, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes., • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics

Job Description Now Hiring: Associate Fraud Risk Data Scientist | Hybrid Work Location: San Jose, CA Work type: Contract (W2 only) Work Authorization: Only GC or US Citizens About the Role We are seeking a talented and driven Fraud Risk Data Scientist to join our Risk Data & AI Innovation team. In this role, you will design and deploy AI/ML models to detect fraud, mitigate risk, and reduce losses across eCommerce and payments ecosystems. You’ll collaborate with product, engineering, and business stakeholders to develop scalable, real-time fraud detection solutions while driving AI transformation within risk management. This is an exciting opportunity for someone passionate about combining data science, machine learning, and business impact in the fraud and risk domain. Key Responsibilities • Design, develop, and implement machine learning and AI models for fraud detection and risk mitigation., • Support stakeholders in effectively leveraging models for risk decision-making., • Partner with product and engineering teams to deploy and monitor models at scale in real-time environments., • Conduct statistical analysis and data science to solve complex fraud and risk problems., • Build dashboards and visualizations (e.g., Tableau) to track KPIs and model performance., • Communicate insights, results, and recommendations clearly to technical teams, business partners, and executives., • Drive AI transformation across risk management activities, including experimenting with LLMs and other emerging AI tools. Required Skills & Qualifications • 2–6 years of experience in machine learning/AI, data science, risk analytics, and data analysis., • Relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or product abuse investigation., • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Data Analytics, or related field, or equivalent practical experience., • Proficiency in Python, SQL, AWS, Excel and key data science libraries., • Strong experience working with large datasets., • Proficiency in data visualization tools (Tableau preferred)., • Strong analytical and problem-solving skills with the ability to make data-driven recommendations., • Excellent communication skills for diverse stakeholder groups., • Experience developing and implementing AI tools such as LLMs for risk use cases., • Hands-on experience in dashboard creation, model monitoring, and KPI reporting., • Prior experience in fraud detection or risk-related data science applications.

Job DescriptionExperience: 6 - 12 YearsMust Have:1. Experience in analytical instrumentation e.g. Mass spectrometers and gas analyzers (customer-facing/ engagement & - should be able to resolve queries regarding this topic.) 2. Familiarity with semiconductor manufacturing processes, 3. Self-motivated and constantly engaging with customersEducation: Engg (with electronics/ electrical background highly preferred) Travel availabilityPosition Overview The Principal Applications Scientist will report directly to the Director of Applications and collaborate closely with cross-functional teams, including Business Development, Marketing, Sales, and Engineering. This role is responsible for leading the development of application-specific solutions for Aston, the company’s flagship product. The ideal candidate will play a critical role in technical customer engagements—particularly in semiconductor manufacturing and related verticals—by preparing and delivering presentations, contributing to product roadmaps, and supporting new product definition and introduction. Key Responsibilities * Develop a deep operational understanding of MS products under development. * Provide hands-on support with instrument configuration, calibration, validation, and performance testing. * Collaborate with customers to develop market-driven applications. * Support Aston evaluations at semiconductor OEMs and fabs. * Perform on-site setup, debugging, and performance analysis of Aston systems. * Identify key application-specific requirements early in the customer engagement process. * Develop customized Aston solution bundles incorporating tailored hardware and software features. * Create and execute support plans and timelines for customer engagements. * Strengthen relationships with key customers through technical expertise and proactive communication. * Identify new application opportunities and draft internal or customer-facing proposals. * Deliver customer presentations and conduct pre-sales product demonstrations. * Develop and deliver hardware/software training sessions to customers. * Analyze customer samples and prepare data reports to support sales efforts. * Contribute to the definition of next-generation product roadmaps. * Participate in product development by translating system-level specifications into component requirements and taking part in design reviews. Requirements * Education: * M.Sc. degree with 6+ years of relevant experience, or * Ph.D. with 2+ years of experience in Physics, Chemistry, Electrical Engineering, or a related field. * Experience: * 5+ years of hands-on experience developing mass spectrometry-based solutions. * Experience with analytical instruments (mass spectrometers, gas analyzers, or plasma diagnostics). * Familiarity with semiconductor manufacturing processes (Etch, CVD, ALD). * Strong understanding of new product introduction (NPI) processes, including defining requirements, prototype evaluation, and system-level debugging. * Proven success in customer presentations and pre-sales demonstrations. * Technical Skills: * Excellent written and verbal communication skills. * Knowledge of control hardware (e.g., PLC) and scripting languages (Python, LabVIEW) is desirable. * Other Requirements: * Willingness to travel up to 30% domestically and internationally. Soft Skills * Self-motivated, proactive, and adaptable in fast-paced or early-stage environments. * Strong collaborator with excellent team-building and interpersonal skills.

Job Description Data Scientist 7+ Month W2 Contract San Jose, CA (Hybrid) Benefits You’ll Love: • NextDeavor offers health, vision and dental benefits for contract employees., • You’ll be eligible to receive Paid Sick Leave (Amount varies per state). The Express Growth Data Science team is looking for a dynamic and versatile data scientist to drive product-led growth for Adobe Express. You will employ data to deeply understand Adobe Express customers through their entire lifecycle, from Acquisition, Engagement Conversion and Monetization, drive strategy, measure progress toward goals, be the voice of customer performance through the product and uncover new opportunities. The ideal candidate will have deep technical skills, a passion for delivering compelling customer analytics, curiosity, and a desire to grow technical skills! Here’s how you’ll make an impact on the team: • Lead strategic analytics projects and present clearly communicated findings that lead to impactful insights for key partners., • Use data from multiple sources to understand customers and their in-product engagement, purchase, and retention, trial and paid conversion patterns create compelling data narratives that drive action and find opportunities to further elevate the Express product experience., • Own and drive growth metrics related to product engagement and monetization. Unlock customer usage and behavior patterns and develop models to analyze the causal relationships between product usage, customer retention and propensity to purchase and convert at a macro and micro-transaction level., • Build new predictive models to understand the relationship between usage, engagement and customer retention - and fuel the basis for Propensity frameworks and find opportunities for monetization., • Develop Analysis frameworks to enable thorough data insights, while maintaining the quality of the insight, and inform strategy., • Develop strategy to drive Data Science and scale the efficiency of the organization by building creative automative solutions., • Serve as the Business liaison, working across all growth pillars and the Finance and Go-To-Market organizations to build regular product performance updates with the Product Led Growth lens., • Lead the Growth organization forecasting and Target setting framework and build Growth contribution layers towards the Express KPI goals., • Partner with the enablement and product teams to enable analytics measurement across existing and new features built in the product in supporting data systems., • Build and maintain dashboards to enable self-serve of information., • A bachelor's degree in computer science, statistics, physics or a related field is required. A Master's degree in this field is preferred., • 3-5+ years of direct experience as a Data Scientist, • Deep understanding of statistics and expertise in building, productizing, maintaining, and improving predictive models, • Strong proficiency in querying, manipulating, validating, and analyzing large data sets using SQL or Hive, • Self Starter, asking questions. Experience with Python, R or any other scripting language., • Experience with one or more data visualization tools such as Tableau or Power BI, • Experience with Adobe Analytics, Amplitude is a plus. Ready to make your mark? Take the leap and apply directly here: – your application is in good hands.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.Key Responsibilities • Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration., • Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility., • Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases., • Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines., • Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes., • Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS)., • Contribute to design/code reviews and foster engineering best practices in a high-performance research environment., • Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required., • PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.Minimum Professional Experience, • Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction., • Strong Python development skills with a focus on research-grade code and scalable data pipelines., • Familiarity with collecting and processing large-scale datasets from open-source and web resources., • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging)., • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision., • Effective communication and collaboration skills for working in cross-functional teams.Preferred Professional Experience, • Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines., • Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing)., • Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP)., • Familiarity with performance constraints in production environments and the trade-offs in model and data design.

Job DescriptionCompany Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG. Job Description As a Lead Research Scientist specializing in Generative AI for 3D Computer Vision, drive innovation at the intersection of GenAI and spatial perception. Lead research and engineering efforts to develop next-generation AI systems for applications in automated driving, industrial automation, and embodied AI. Key responsibilities include: • Lead research and development in generative AI and 3D computer vision to enable embodied intelligence across domains such as ADAS/AD, robotics, and industrial automation., • Advance 3D perception capabilities by integrating large-scale vision-language-action models, enhancing reasoning, explainability, and open-world understanding., • Architect and implement scalable solutions, translating cutting-edge research into robust, real-world systems within Bosch’s platforms., • Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration. Basic Qualifications • Ph.D. in Computer Science with minimum 3 years industry experience after graduation., • 1+ years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer Vision, Automotive Motion, Behavioral Planning, etc., • 3+ years of Technical Leadership experience, • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust) and major machine learning frameworks like PyTorch, • Hands-on experience in computer vision and deep learning, with a strong focus on at least two of the following areas: multimodal transformers or VLMs, multimodal language models, diffusion models, NeRF or gaussian splatting, VLA modeling, 3D scene understanding, sensor calibration, autonomous driving, SfM, behavior modeling / prediction, voxel/BEV grid-based feature representation., • Publication record in top venues including CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG., • Industry experience with building E2E systems and world models for ADAS development., • Experience in working with hardware systems including sensors such as cameras, depth sensors, IMU, LIDAR, etc., • Strong background in math and statistics., • Able to work independently, has strong research and problem-solving skills., • Good communication and teamwork skills Additional Information Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. The U.S. base salary range for this full-time position is $180,000 - $ 210,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process. #LI-JM1

Job Description Associate Fraud Strategy Data Scientist San Jose, CA Fraud Strategy Data Scientist, Risk Data Scientist w/Fraud, Risk Analytics, Data Analysis, Data Science, Fraud Mitigation, Industry: eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse, SQL, Tableau, Data Science Libraries Experience level: Mid-senior Experience required: 3 Years Education level: Bachelor’s degree Job function: Finance Industry: Financial Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Note: This is a hybrid position, so candidates must be based in the San Jose area. JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. We’d love to chat if you have: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science to solve complex business problems Proficiency in SQL, Python, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies Key Job Functions Design rules to detect/mitigate fraud Develop python scripts and models that support strategies Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Expected Outcome in 6-12 months Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented Preferred Skills Data analytics and models Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau Strictly contract to cover multiple leaves over a 1 yr. period. Potential to extend based on business need and performance. Day shift: M-F Pacific time Multiple Zoom interviews (2-3) – SQL assessment during 1st interview. MUST HAVE: Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Experience in SQL, Python, Excel including key data science libraries. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation. Experience in data visualization including Tableau. Experience working with large datasets.

Job DescriptionAbout the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations. Key Responsibilities - Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment. - Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models. - Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code. - Contribute to technical reports and research publications. - Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. - Proactively engage with the open-source community. - Contribute to large-scale reinforcement learning training and inference frameworks. - Facilitate internal and external collaboration Academic Qualifications - MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields. Professional Experience Minimum - 3+ years of hands-on experience with reinforcement learning - Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement. - Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision. - Strong Python development skills with a focus on research-grade code and scalable data pipelines. - Practical experience implementing complex mathematical concepts into reliable, well-documented code. - Experience applying novel RL algorithms to practical applications. - Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations. - Strong communication and collaboration skills for effective cross-functional work. Preferred Qualifications - Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc. - Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. - Familiarity with current RL+LLM training libraries - Experience training policies in self-play, possibly demonstrated by publication, blog post, public code. - Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code. - Strong publication record in leading AI and RL venues (e.g.ICLR, ICML, NeurIPS, RLC, JMLR, TMLR) - Familiarity with performance constraints in production environments and the trade-offs in model design and execution. - Prior contributions to open-source ML research or data tools. - Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. Key Responsibilities • Pioneer web-scale data collection and curation methodologies for LLMs and multi-modal foundation models., • Design and implement novel data synthesis pipelines for code, mathematics, and agentic reasoning datasets., • Trace the impact of data from pre-training to final model capabilities and create automated quality assessment frameworks for massive datasets, • Design data recipes that maximize model capabilities across diverse domains., • Optimize data-model co-design for improved training dynamics., • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s AI research and innovation. Academic Qualifications, • Minimum: Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required., • Preferred: PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on LLMs and data is preferred. Professional Experience, • Experience working with large language models, including evaluation, fine-tuning, and prompt engineering., • Strong Python development skills with a focus on research-grade code and scalable data pipelines., • Familiarity with collecting and processing large-scale datasets from open-source and web resources., • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging)., • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision., • Effective communication and collaboration skills for working in cross-functional teams. Preferred, • Prior research experience in areas such as web data curation and mixing, synthetizing complex datasets for training, LLM evaluation, post-training data, efficient inference, LLM-as-a-judge, tokenization., • Strong publication record in leading AI conferences (e.g., NeurIPS, ICLR, ICML, EMNLP) and/or prior contributions to open-source AI research or data tools.

Job Description Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company—we’re a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. We’re looking for an exceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives. What You’ll Do: • Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments., • Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value., • Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning., • Partner with engineering teams to architect scalable data pipelines and ML infrastructure., • Establish best practices for experimentation, model training, model evaluation, and monitoring., • Stay current with the latest advancements in data science, machine learning, and artificial intelligence., • Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges., • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field., • 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery., • Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning, • Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn), • Proficiency in SQL and experience working with large-scale datasets and distributed computing frameworks (Spark, Dask), • Demonstrated experience deploying models to production and monitoring model performance, • Demonstrated cross-functional experience with diverse teams across the organization, • Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences, • Strong business acumen and ability to connect data science work to organizational objectives, • Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices, • Track record of publishing research or contributing to open-source projects, • Experience with A/B testing and causal inference methodologies, • Knowledge of data engineering principles and ETL processes Join Tarana and help shape the future of wireless connectivity. About Us Tarana’s mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next-generation fixed wireless access (ngFWA) technologies. Its unique ngFWA platform delivers game-changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana’s ngFWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at . Powered by JazzHR n6LRsnB45u

Job Description Credit Strategy Data Scientist - 575 San Jose, CA Credit Strategy Data Scientist San Jose, CA 50 per hour If you post this job on a job board, please do not use company name or salary. Experience level: Mid-senior Experience required: 3 Years Education level: Bachelors degree Job function: Finance Industry: Financial Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to join the Credit Risk Strategy team. The incumbent will be responsible for leading key projects associated with credit risk assessment, data analysis and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms preferably in the credit risk domain. Key Job Functions Design rules to detect/mitigate loss Investigate novel/large cases Identify root cause Set strategy for different risk types Work with product/engineering to improvement control capabilities Develop and present strategies and guide execution Drive results that maximize eligible customers while controlling losses Professional Experience/Background to be successful in this role: Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Proficiency in SQL, Python, Excel including key data science libraries. Experience working with large datasets. Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes. Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude solving problems related to risk using data science and analytics. Bonus: Experience with AWS, payment rule systems, and knowledge of credit products. Expected Outcome in 6-12 months: Development of dashboard and visualizations to track KPI of credit strategies implemented Work closely with team members and stakeholders to consult, design, develop, and manage credit trends and losses that not only solve emerging loss trends but also provide a great experience to end customers. Utilize data analysis to design and implement credit strategies Analyze and transform data using RaaS platforms to identify loss patterns and optimize the systems to flag these patterns Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven credit solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Preferred Skills: Data analytics Rule development Dashboard Creation Project Management Strong Communication Notes from Hiring Manager: Interview process: Multiple (At home screening, 1 technical interview with senior team member, 1 interview panel with hiring manager and team member). Team size: 5 team members, position will work closely with a senior team member at outset, role will largely focus on reporting, so experience with visualization and data storytelling is a plus. MUST HAVE: Bachelors degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry. Experience using statistics and data science to solve complex business problems. Proficiency in SQL, Python, Excel including key data science libraries. Experience working with large datasets. Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau. Desirable to have experience or aptitude solving problems related to risk using data science and analytics. Experience with AWS, payment rule systems, and knowledge of credit products.

Job Description • We’re looking for someone who: • Is proficient in SQL, Python, Excel, and data science libraries, • Has experience with data visualization tools such as Tableau, • Can work with large datasets and translate complex results into actionable insights, • Communicates clearly with technical teams, business partners, and executives, • Thrives in ambiguity and drives projects toward measurable outcomes, • (Preferred) Has experience with AWS, fraud investigations, rule systems, or ML collaboration • What you’ll do: • Design and refine fraud detection and mitigation rules, • Develop Python scripts, models, and dashboards to support fraud strategies, • Investigate large or novel fraud cases and identify root causes, • Partner with product and engineering teams to enhance fraud control capabilities, • Present fraud strategies and guide execution across stakeholders, • Analyze fraud KPIs and report outcomes through dashboards and visualizations

Job Description JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. Wed love to chat if you have: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Design and develop machine learning and AI models detect/mitigate fraud, • Support stakeholders and cross-functional teams in effective usage of models, • Drive AI transformation for all risk management activities at BILL, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions., • Utilize data analysis to design and implement fraud models, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Machine Learning & Artificial Intelligence, • Data Science, • Model development, • Dashboard Creation, • Project Management, • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced., • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Job DescriptionEstablished in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. WeRide.ai Silicon Valley team is looking for an experienced and innovative data scientist for its growing metrics team to support the development and validation of both L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems. The level depends on the candidate's experience and qualification. The metrics team is at the forefront of accelerating the development and deployment of cutting-edge ADAS/AV technologies. As a Senior Data Scientist on this team, you will play a pivotal role in ensuring the safety, reliability, and efficiency of our autonomous systems. You will be responsible for developing and implementing rigorous evaluation frameworks and advanced statistical methodologies to assess overall system performance, as well as the performance of critical sub-systems across software releases, and different territories. Your work will directly inform crucial engineering decisions, guide iterative improvements, and contribute to the successful commercialization of our ADAS/AV stack. What You Will Do: • Develop Rigorous Evaluation Frameworks: Design, develop, and implement advanced statistical frameworks for the comprehensive evaluation of ADAS/AV system performance, with a strong emphasis on safety, compliance, and progress metrics., • Define and Monitor System Performance: Define, measure, and monitor key performance indicators (KPIs) for the overall ADAS/AV system. Develop automated data pipelines and reporting mechanisms to track these metrics across software releases., • Evaluate Sub-system Performance: Define and implement metrics to evaluate the performance of individual sub-systems. Utilize these metrics to provide actionable insights that guide and accelerate sub-system development and improvement., • Statistical Analysis and Experimentation: Apply advanced statistical techniques, including hypothesis testing, experimental design, and causal inference, to analyze complex behavioral data and derive robust insights into system performance and regressions between releases., • Partner with Engineering Teams: Collaborate closely with Simulation, Systems Engineering, Product, and Software Development teams to integrate evaluation insights into the development lifecycle, inform release readiness, and ensure alignment on performance targets., • Technical Leadership and Mentorship: Provide technical leadership on complex data science problems, champion best practices in data analysis and statistical rigor, and mentor junior data scientists within the team., • Data Visualization and Communication: Create compelling data visualizations and communicate complex analytical findings clearly and concisely to diverse audiences, ranging from technical engineers to senior leadership.Requirements:, • Quantitative Degree: Master's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field., • Extensive Industry Experience: 3+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models., • Advanced Statistical Expertise: Deep expertise in advanced statistical methods and their application in real-world settings, including experimental design, hypothesis testing, regression analysis, causal inference and time series analysis, etc., • Technical Problem Formulation: Proven ability to translate ambiguous real-world challenges into clearly defined data science problems, identify appropriate methodologies, and deliver effective solutions., • Data Manipulation and Analysis: Proficiency in using programming languages (e.g., Python, R) and SQL for data extraction, manipulation, and analysis., • Communication: Excellent verbal and written communication skills, with the ability to tailor technical explanations to various stakeholders., • Flexibility: Ability to collaborate effectively with teams in different time zones.Preferred Qualifications:, • PhD degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field., • 5+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models., • Experience with large-scale evaluation frameworks for complex software systems, particularly in autonomous driving or robotics., • Familiarity with ADAS/AV system architectures and the behavioral challenges inherent in autonomous driving.

Job Description Credit Strategy Data Scientist Location: Remote (U.S.-based candidates only) - 12 month contract Full-Time | MidSenior Level | No Visa Sponsorship or Relocation Overview A fast-growing financial services organization is seeking a Credit Strategy Data Scientist to join its high-performing Credit Risk Strategy team. This is an exciting opportunity for a data-savvy professional with fintech or payments industry experience to help drive business-critical decisions through advanced analytics, predictive modeling, and risk mitigation strategies. You will work on end-to-end development of data-driven credit solutionspartnering closely with cross-functional stakeholders to design, execute, and refine credit strategies that support responsible growth and customer success. What Youll Do * Design and implement data-driven rules to detect and mitigate credit losses • Investigate complex and high-impact risk cases and identify root causes, • Set and refine credit risk strategies across various risk categories, • Collaborate with product and engineering teams to enhance risk control capabilities, • Lead the development of dashboards, visualizations, and reports to track credit KPIs Present data-backed recommendations to stakeholders and executives * Use large-scale datasets to uncover patterns and drive risk optimization • Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining, or a related field (or equivalent practical experience), • 2+ years of hands-on experience in risk analytics, data science, or data analysispreferably within fintech or online payments, • Proficiency in SQL, Python, and Excel, including core data science libraries, • Proven ability to work with large datasets and derive actionable insights, • Experience developing and communicating dashboards and visualizations (e.g. Tableau), • Strong communication skills and ability to translate complex analysis to diverse audiences Demonstrated data-driven decision-making and solution development Preferred Skills & Experience • Experience applying data science to credit risk and loss mitigation problems, • Familiarity with AWS, payment rule systems, or credit product lifecycles, • Strong project management skills and ability to drive analytics from concept to execution, • Design and deployment of credit strategies based on emerging loss trends, • Creation of performance dashboards and tools to monitor KPIs and credit risk health, • Collaboration with product and engineering teams to implement real-time credit decisioning Data Analytics & Visualization * Credit Rule Development * Strategic Communication * Cross-Functional Collaboration * Project Ownership & Execution Interview Process * At-home screening assignment * Technical interview with senior team member * Final panel interview with hiring manager and team Team Size: 5 members Work Style: Close collaboration with senior data scientists initially, with room for independent ownership over time. Focus Area: Reporting, visualization, and strategy design This is a high-impact role at the intersection of data science, risk management, and business strategyperfect for professionals passionate about leveraging data to drive innovation in financial services. Apply now to help shape the future of responsible credit risk management.

Job Description Associate Fraud Strategy Data Scientist needs 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Associate Fraud Strategy Data Scientist requires: Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience. Experience using statistics and data science to solve complex business problems. Experience in SQL, Python, Excel including key data science libraries. Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation. Experience in data visualization including Tableau. Experience working with large datasets. Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau Data analytics and models Rule development Dashboard Creation Project Management Associate Fraud Strategy Data Scientist duties: Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers. Utilize data analysis to design and implement fraud strategies Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud strategies implemented

Job Description Location: Michigan & Santa Clara About SiTime SiTime Corporation is the precision timing company. Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to differentiate their products with higher performance, smaller size, lower power and better reliability. With more than 3 billion devices shipped, SiTime is changing the timing industry. For more information, visit . Job Summary • Join the team that is revolutionizing the timing industry with the best silicon Microelectromechanical Systems (MEMS) timing products in the world. As a Principal MEMS Development Engineer, you will use your technical and creative problem-solving skills to push forward MEMS technology and engineer resonators for SiTime’s next-generation timing products. It is not necessary to meet all job requirements to be a qualified candidate for the position. Responsibilities: • Lead definition and execution of challenging technical projects., • Advise management of challenges, impact, recommendations., • Develop new or improved resonators, MEMS technologies and/or products., • Design MEMS devices and characterize their electrical, mechanical, and thermal performance on wafer level and/or device level., • Work with process team to drive continuous improvement in MEMS yields., • Extend and enhance automated infrastructure for MEMS design, measurements, and data analysis., • Design and analyze experiments to understand device physics, materials, and fabrication., • Interface with local and overseas vendors., • Work in cross-functional teams, including circuits, systems, and packaging., • Working/supporting other projects as needed. Qualifications & Requirements: • Ph.D. in ME, EE, Physics, or equivalent, • At least 3 years of industry experience., • Skilled scientist with ability to design, conduct, and analyze experiments., • Excellent problem identification and problem-solving abilities., • Excellent knowledge of mechanics, electrodynamics, thermodynamics., • Knowledge in fundamentals of MEMS devices physics and fabrication., • Experience with finite element simulation tools (COMSOL, ANSYS) and data processing tools (Matlab, Python)., • Excellent interpersonal, organizational, written and verbal communication skills., • Passion for delivering exceptional results. Desired Characteristics & Attributes: • 3 -10 years of industry experience., • Intermediate to advanced knowledge of programing languages, circuits, metrology equipment and methods., • Experience with Statistical analysis and tools such as R or JMP., • Knowledge in MEMS microfabrication. Compensation Range: At SiTime, we believe great work deserves great rewards. We offer a comprehensive and highly competitive compensation package designed to attract top talent. The final offer is determined by factors such as location, experience, education, and training. In addition to base salary, this role is eligible for a quarterly bonus tied to the achievement of innovation goals—reflecting our commitment to recognizing meaningful impact. We also offer equity grants, providing a meaningful opportunity to share in the company’s future growth and success. Benefits offered: 401k plan, health and wellness that includes medical, dental, vision, life, parental leave, legal services, and time off plans. SiTime is an Equal Opportunity Employer. We treat each person fairly and we do not tolerate discrimination or harassment against anyone on the basis of any protected characteristics, including race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, pregnancy, political affiliation, protected veteran status, protected genetic information, or marital status or other characteristics protected by law. SiTime participates in the E-Verify program. Learn More about SiTime: Review the Get to Know SiTime section of our career page to explore our culture, values, and what makes us unique. • Innovation on Top – Philosophies of Innovation with Rajesh Vashist, • Fabrication Knowledge – An Interview with Rajesh Vashist, • SiTime Corporation – YouTube #LI-SITIME