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Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience: We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. \n Requirements: • Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred., • 5+ years of relevant experience., • Demonstrable proficiency in Python, Scala, SQL, or R., • Strong data visualization and reporting skills., • Expertise in extracting insights from real-world structured and unstructured datasets., • Proven track record delivering high-value, advanced analytics., • Experience leading the work of other data scientists or analysts is preferred., • Strong communication skills, • Startup agility and versatility. \n Visit and

The ideal candidate combines strong technical depth in time-series and predictive modeling with the ability to operate in ambiguous business contexts, translate commercial questions into scalable analytical solutions, and provide technical leadership in how forecasting is built at Omada. Demonstrate

As a Staff Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. Gusto is looking for highly skilled and motivated Data Scientists with ext

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries. Key Responsibilities • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS, • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM, • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels, • Perform large-scale data extraction, transformation, and analysis using SQL, • Implement and operationalize models in cloud environments (Azure preferred), • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions, • 10+ years of experience in applied data science or advanced analytics, • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting, • Strong domain experience in CPG, FMCG, retail, or similar industries, • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels), • Strong SQL skills for large-scale data processing, • Proven experience deploying models in cloud environments (Azure preferred) This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living _ and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. You will play a pivotal role in developing and commercializing cutting-edge machine learning models and algorithms, leveraging wearable health data to improve women's health outcomes. You will lead complex projects, mentor junior team members, and contribute significantly to the strategic direction of our technology.. What you will do: • Contribute to the development and deployment of advanced machine learning pipelines and models for innovative Women's Health features, focusing on time-series analysis and robust validation., • Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers, product designers and test engineers., • Design and execute rigorous statistical analyses for model performance evaluation, monitoring, and generating actionable insights to inform strategic product decisions., • Conduct in-depth exploratory research to identify and characterize novel health sensing features, translating proof-of-concept ideas into scalable, commercialized products., • Contribute to the development of best practices for machine learning within the Women's Health team., • Present and communicate complex technical concepts to diverse audiences. This is a remote US role with a preference for candidates based in San Francisco, San Diego, or Boston. Requirements • PhD in Biomedical Engineering, Electrical Engineering, Biostatistics, Computer Science, or a related field. And 3+ years of industry experience in machine learning and data science., • 5+ years of advanced programming experience in Python and SQL., • Extensive experience with a wide range of machine learning and statistical modeling techniques, including deep learning, time-series analysis, and signal processing., • Demonstrated experience in the full lifecycle of developing and commercializing machine learning models and algorithms., • Excellent communication skills, and the ability to articulate complex technical concepts to both technical and non-technical audiences., • Self-driven, motivated, have a pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively., • Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $172,000 - $203,000, • Region 2 $158,000 - $187,000, • Region 3 $147,000 - $174,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront., • Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

We're a small team (1 data scientist + a part-time data engineer) at a company with millions of users. You have 7+ years of experience as a data scientist. You’ll own the models that proactively shape product direction and mentor data scientists in developing these skills.

About Binance.US: Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit . All roles supporting are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: _, one of the most recognized brands in cryptocurrency, is looking for a Senior Growth Data Scientist to join our Data organization as a dedicated partner to the Marketing team. You'll sit within Data — with the rigor, tooling, and standards that come with it — while working day-to-day alongside performance, lifecycle, brand, and growth teams to shape and measure marketing strategy. This is a high-ownership individual-contributor role for someone who wants to build the analytical foundation a fast-growing marketing org needs, and to influence where and how we invest. As the function matures, there's a clear path for this role to grow a team underneath it. Core Responsibilities: Serve as the embedded data science partner to Marketing, bringing rigorous, data-driven decision-making to a team that today lacks dedicated analytical support. Stand up and own the marketing measurement foundation — event tracking architecture, unified attribution windows, and KPI frameworks across mobile (MMP) and web (GA) — so channels can be compared apples-to-apples. Build and maintain the core models that drive spend decisions: LTV, ROAS, CAC/payback, and retention; translate them into channel strategy and budget allocation recommendations. Design, run, and read out experiments and A/B tests across acquisition and the customer lifecycle, and set the experimentation standard for the marketing org. Analyze the full funnel (acquisition → activation → engagement → retention → monetization), surface the highest-impact growth opportunities, and size them. Build forecasting and opportunity-sizing models to inform planning and resource allocation. Develop self-serve dashboards and recurring reporting that give Marketing and leadership clear visibility into performance. Partner with Data Engineering and MMP/ad-platform teams to ensure data quality and measurement accuracy, and prioritize fixes. Translate analysis into clear, persuasive recommendations, and influence marketing investment decisions with stakeholders up to leadership. Preferred Skills/Experience: 5 years in marketing/growth analytics or data science, ideally at a consumer-facing tech, fintech, or startup, with a track record of driving measurable growth. Advanced SQL and comfort working with large-scale data in modern warehouse environments. Proficiency in Python or R for analysis and modeling. Strong grounding in marketing attribution, experimentation and statistics, funnel analysis, retention, ARPU, and LTV. Hands-on experience with mobile measurement platforms (AppsFlyer preferred): SDK/event setup and attribution modeling. Proficiency with BI/visualization tools (Tableau, Looker, or similar). Excellent communication and the ability to influence non-technical stakeholders — especially important since Marketing will look to this person for direction. A self-starter comfortable building from scratch in an ambiguous, fast-moving environment. Nice to have Crypto, fintech, or financial services experience. ML applied to marketing (propensity, churn, LTV prediction, audience segmentation). Experience building audience segments and activating warehouse data into ad platforms. Bachelor's in a quantitative field; Master's a plus. The starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian remote locations and between USD$170,000 - USD$195,00 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change. Our Mission: At _, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all. Our Values: Our values shape how we work, make decisions, and support our users every day: Act with Integrity: We do what’s right, even when no one is watching. Be Collaborative: We work together with respect and transparency to achieve shared goals. Customers First: We listen to, advocate for, and prioritize our users in every decision we make. Do the Work: We take ownership, follow through, and deliver results that move the mission forward. Embrace Change: We stay adaptable and curious, thriving in a fast moving industry. Our Benefits: We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings. Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave. Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits. Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires. Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match. BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic. Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available _. By submitting your application, you are agreeing to our use and processing of your data as required. We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts. We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation and predictive AI — all in service of real-world auto shop needs. Shopmonkey has the structured data and workflows to support serious data science work, and you'll have the rare opportunity to help build the analytical and ML foundation from the ground up, shaping how data-driven decision making scales alongside a maturing platform and defining what the future of automotive care looks like. For Bay area candidates, this role would be hybrid with 2-3 days/week in office at our Morgan Hill, CA location for collaboration. What will do: • Design, build, and ship production-ready models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems., • Conduct end-to-end development of data science solutions: requirements gathering, data acquisition, exploratory analysis, feature engineering, model training, evaluation, deployment, and monitoring., • Partner with stakeholders to translate ambiguous business problems into well-scoped data science projects with clear success criteria., • Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback., • Perform deep exploratory data analysis to surface insights, identify data quality issues, and inform feature engineering and modeling decisions., • Work closely with ML engineers and data engineers to ensure models are integrated reliably into production pipelines and can scale appropriately., • Build and maintain analytical models and dashboards that surface actionable insights across core business areas, partnering with product and operations teams to ensure outputs drive real decisions., • Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization., • Translate complex analytical findings and model outputs into clear, actionable recommendations for cross-functional stakeholders., • Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment. We are looking for people who have: • Minimum of 5+ years of industry experience in applied data science; advanced degrees (Master's or PhD) may offset years of experience., • Proven experience taking models and analyses all the way to production (not just proof-of-concepts or notebooks)., • Strong foundations in classical DS/ML: exploratory data analysis, prediction, classification, clustering, feature engineering, model evaluation, experimentation, etc., • Proficiency in Python; strong SQL skills for working with large-scale data., • Strong collaboration and communication skills—comfortable working with PMs, engineers, and other cross-functional team members., • A track record of working directly with business stakeholders to gather requirements, define metrics, and frame problems in data science terms. Have Some of These: • Deep expertise in statistical inference and hypothesis testing., • Strong working knowledge of the ML and data science library ecosystem; able to evaluate and select appropriate tools and models for a given problem, • Experience with data visualization tools and communicating results clearly to both technical and non-technical audiences., • Familiarity with LLMs and NLP frameworks (e.g., Hugging Face, LangChain) and an interest in applying them to real-world problems., • Working knowledge of MLOps principles—enough to deploy, version, and monitor models in a modern cloud environment without heavy infrastructure ownership., • Cloud infrastructure familiarity (e.g., GCP, AWS) and comfort working within existing data platforms. Bonus Points: • Prior experience working at a high-growth startup., • Experience in vertical SaaS or the automotive industry (business or consumer)., • Background in causal inference, experimentation design, or econometric modeling., • Familiarity with feature stores or shared feature pipelines across multiple models., • Experience with real-time or streaming data for live model scoring. In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included. Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status: • Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date, • Short term and long term disability, • Employee assistance program, • Reimbursement for a personal health and wellness membership, • Generous parental leave, • 401(k) available upon hire, • 11 paid holidays, • Flexible time off - take the time off you need!, • Matching donations for approved charitable organizations, • Group volunteer efforts Check out our , , or _ about what it’s like to work at Shopmonkey. Join our team of _ who love what they do, and change the auto industry by helping every shop thrive. The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience. Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform. Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B. In 2021 Shopmonkey _ a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth. In 2022, Shopmonkey #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in , and ! Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission. Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at _. Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for: • Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications., • Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer., • While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s page, or our official The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from and . If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.

Location: Arlington, VA; Pittsburgh, PA; or Remote Travel: Up to 75% Role Type: Full-time $140-$175K + up to 30% bonus + Equity We are a premier defense technology firm transforming National Security through software-driven strategic advantages. Our flagship AI-enabled platform modernizes the defense acquisition lifecycle—from supply chain and logistics to modernization and sustainment. By replacing outdated manual processes with high-fidelity data and advanced analytics, we empower the national security community and every branch of the military to make faster, more informed decisions for the future of defense. We are seeking an inquisitive Forward Deployed Data Scientist with deep expertise in Artificial Intelligence and a sophisticated understanding of complex Defense Acquisition challenges. You will work with proprietary and commercial datasets to uncover critical connections, derive actionable knowledge, and identify potential risks that help government leaders make mission-critical decisions. Your role involves designing, developing, and rapidly deploying scalable AI solutions that transform data into strategic capabilities. You must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver and a "scrappy" out-of-the-box thinker. You lead by influence, possess an intolerance for mediocrity, and are motivated to roll up your sleeves to produce simple, impactful solutions to complex problems. AI Innovation: Develop and deploy new AI methods and systems to solve complex defense challenges. Rapid Prototyping: Build AI models, heuristics, and agentic solutions from the ground up. Client Engagement: Work directly with customers to translate vague mission needs into concrete AI workflows and technical requirements. End-to-End Ownership: Take full accountability for client problems, from initial discovery to deploying production code into AI systems. Cross-Functional Collaboration: Partner with AI platform and data engineering teams to build end-to-end production solutions. Generalization: Wrap specific Data Science solutions into reusable agentic AI frameworks and features for broader deployment. Agentic Systems: Create agentic AI systems using AI orchestrators and advanced reasoning capabilities. U.S. Citizenship is required. Required Skills: Technical Translation: Proven ability to embed with clients, understand vague national security challenges, and translate them into concrete technical documentation for multiple teams. Prototyping & Deployment: Expertise in rapidly prototyping agentic solutions and deploying production-grade code. Impact Measurement: Experience evaluating, tuning, and measuring the real-world impact of AI/DS solutions. Agentic Frameworks: Competency in building agent skills to solve specific problems and integrating those solutions into broader frameworks. Communication: Strong ability to communicate complex concepts clearly to both technical and non-technical users. Desired Skills: Academic Excellence: A strong publication record in top AI, ML, NLP, or Decision Science conferences. Evaluation Systems: Deep knowledge of LLM and Agentic system evaluation. Specialized Domains: Expertise in Operations Research, Optimization, or Decision Science. Enterprise Scaling: A track record of successfully transitioning research prototypes into robust, production-grade enterprise solutions.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks.The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances

Minimum 6 years of experience as Data Scientist.

We empower regional and independent grocers to compete in a digital-first world by providing best-in-class app, web, loyalty, and e-commerce solutions—without SaaS fees.Instead, Swiftly drives revenue through its retail media network, sharing profits with retailer partners.With 70+ retailer banner

As a member of the cross-disciplined Strategic Analytics team, the Data Scientist will play a crucial role in analyzing complex datasets, uncovering valuable insights, and providing data-driven solutions to drive business growth and innovation. The data scientist will work closely with business lead

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred, • Must be a U.S. Citizen

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers. Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value. Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist. Leading up to our Series B financing, we are hiring key roles onto the team and entering an exciting phase of growth and innovation. Join us to combine cutting-edge technology with a purpose-driven mission to make the world a better place. Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases Provide guidance for proposals on feasibility of scope and how to ensure impact Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform Engage with customer users to provide informal support, tips, and troubleshooting Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans Participate in reviews with customers to document and improve measurable impact Provide feedback to Product and Sales teams to align offerings with customer needs Follow advancements in data science, machine learning, and healthcare analytics Commitment to understanding customer needs and helping them achieve goals Creative mindset with a passion for tackling challenging problems with data Ability to collaborate with diverse users and internal teams Strong communication skills: verbal, code, visualizations, and maps Strong foundation in machine learning, data modeling, and predictive analytics Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred Comfort working in a dynamic environment with evolving priorities and customer needs Proficiency in Python and associated data science technologies Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools Expertise in SQL or NoSQL databases preferred 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field Experience with more than one company size or business stage preferred Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include: Equity & Incentives – Participation in our stock option program. Flexible Time Off – Autonomy to manage your schedule and work-life balance. Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference. This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications.Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before tho

Foodsmart is the leading Foodcare platform in the U.Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs.Our platform is designed to

We’re looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You’ll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners. What you’ll do: • Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel., • Design, implement, and validate advanced causal inference methods for incrementality and lift measurement., • Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power., • Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms., • Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions., • Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions., • Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org., • Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers. What we’re looking for: • 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data., • 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA)., • Proficiency in SQL and expertise in at least one scripting language (ideally Python or R)., • Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value., • Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers., • Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams., • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. #LI-NM4 #LI-REMOTE

Role: Data Scientist – Machine Learning Focus.This role is open to US Citizens, Green Card holders, GC-EAD only.Adidev Technologies is seeking 2 yrs of relevant experience in Data Science.A project can last anywhere from 6 months to 18 months.Salary varies depending on experience, and we are in se

_ is a consulting firm that is trusted by the world’s leading organizations and specializes in business transformation and technology services. We are committed to making an impact for our customers and leveraging technology to unlock human potential. We help accelerate our customers' progress toward meaningful outcomes by bringing together cross-industry expertise, proven processes, and transformative technology to activate shared potential. Our diverse set of experts spans_ with international reach via our partnership with Nextcontinent. We're united by our desire to help our customers succeed, wherever they do business. Point B has been consistently recognized as one of the best places to work by Fortune® Magazine, Great Place to Work, Consulting Magazine, BuiltIn, and many others. Our Data and Analytics practice helps our customers across their journey to become insights-driven organizations. Insight-driven organizations use data to drive measurable business value, creating opportunities for growth, profitability and operational excellence. WHAT YOU’LL GET TO DO: Lead our customers through transformational change by driving the design and execution of data and analytics strategies Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state Contribute to the direction of our Data and Analytics Consulting practice through exceptional customer service delivery and support of business development efforts Work with teams of customer personnel and Point B consultants to plan and deliver on data and analytics initiatives Grow as a leader working alongside senior Point B consultants who provide mentorship and support Exercise your entrepreneurial spirit and contribute to the firm’s growth as an employee-owner WHAT WE OFFER: The ability to chart your career path based on expertise and passions An environment that encourages you to identify new opportunities and supports you in reaching your goals The chance to have a balanced lifestyle by working with local or national clients in a flexible consulting model The opportunity to be part of building a new practice area within Point B The support of a well-established consulting firm and access to a rich network An environment that encourages you to identify new opportunities and provides the support to make it happen The opportunity to further enable fun and collaborative culture with teams that are as passionate about their communities as they are about their clients A comprehensive, flexible Total Rewards program that supports and recognizes each individual’s unique needs and contributions to the firm WHAT WE EXPECT YOU’VE ALREADY DONE: 8+ years leading or participating in data and analytics projects, in a quantitative, data driven or highly analytical business environment Solved complex business problems by converting raw data into meaningful and actionable business ideas Developed and implemented data and analytics solutions Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc.) Demonstrated the ability to import, clean, transform, and model data with the purpose of translating complex information into meaningful clear conclusions for decision making purposes (preferred experience with SQL, R, Python, etc.) Demonstrated the ability to work directly with customers to lead high priority initiatives and act as a trusted advisor Earned BA or BS with preference for quantitative undergraduate degree (e.g. BS in Mathematics, Economics, Computer Science, Information Management or Statistics) Available to travel up to 50% PREFERRED QUALIFICATIONS: Data warehouse and data platform design and technical implementation leadership Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem Power BI at an advanced level, data modeling (especially Power Query and Data Access Expressions - DAX) Experience designing, building, and deploying large scale solutions within the Power BI Premium service D&A experience in specific business functions (Finance, Sales and Marketing, Operations and Supply Chain) Experience with key data sources like Microsoft Dynamics 365, Oracle, SAP, Salesforce, and Adobe Ideally industry-specific systems experience. Electronic Medical Records (EMR) systems such as Epic, and Ecommerce and Point-of-Sale (POS) systems like Hybris and Aptos Technical certifications on the Microsoft platform (Azure Solution Architect, Azure Data Engineer, Azure Data Scientist, Azure Fabric Analytics Engineer) Certified Power BI Data Analyst THE KIND OF PEOPLE WE LOOK FOR: Versatile consultants who are passionate about data and analytics and thrive on variety and challenge Innate problem solvers who want to grow in a flexible, collaborative culture Comfortable transitioning between strategic and execution responsibilities to maximize customer value Confident decision makers with a proactive mindset Engaging leaders who make a positive impact on their firm, customers, and communities Those who have a growth mindset regarding training, practice, and evolving their skills Versatile people who thrive on variety and challenge Successful in ambiguous environments Desire to and ability to learn Passion for Point B’s Mission, Vision, Values & Culture Gets it done brand and attitude Ability to work from home Ability to work non-standard work hours when necessary. COMPENSATION AND BENEFITS: The estimated salary range for this role is $105,000 - $150,000 USD per year. This salary range is provided as required by local and state law as applicable. Individual salaries vary on a number of factors including but not limited to geography, skills, education, experience and unique qualifications where applicable. Bonuses are awarded at Point B’s discretion and are based upon individual contributions and overall firm performance. \n \n INTRIGUED TO LEARN MORE? When you apply for this role, your information will be personally reviewed by our talent acquisition team (not by a robot). You can expect to hear back from us with feedback if we think there could be a fit and what next steps look like. WHAT MAKES POINT B DIFFERENT? We put our passion for change to work, using our purpose and values as our north start. Our teams help organizations solve their greatest challenges and created an inclusive culture that attracts and retains the world’s best talent. Be part of a collaborative culture where we build lasting relationships with each other, our customers, and our communities. _ – Point B rewards high performance with a total rewards approach that includes competitive base pay, benefits, and short-and long-term incentives — as well as flexibility, leadership development opportunities, and a culture designed to help our diverse team of individuals flourish. Employee Ownership – We give employees a voice in directing their careers and the growth of our company. Our Employee Stock Ownership Plan (ESOP) is a non-contributory retirement vehicle that grows over time from annual allocations (based on individual compensation) and the value of our company. _ – We are proud to be named a Best Workplace in the US by Fortune magazine, Best Workplaces for Millennials, and Best Workplaces for Women in addition to other awards regarding our workplace inclusivity. Point B is an equal-opportunity employer committed to a diverse workforce. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. You can read more about our commitment to diversity on our _. Point B is committed to providing equal opportunities for persons with disabilities or religious observances, which includes providing reasonable accommodation for in any individuals with disabilities or for religious purposes. Applicants with disabilities may contact our Accommodations team at _ or 206-517-5000 to request and arrange for accommodations through the application and/or recruiting process. If you need assistance to accommodate a disability or religious observance, you may request an accommodation at any time. Please note: This mailbox is only for accommodation requests or questions. Please use the Contact Us form for any recruiting inquires. Legal Information for Job Seekers can be accessed on our _ Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

At Braviant, we believe in hiring great talent and offering them the flexibility to achieve great results unbounded by geography. Braviant is offering a fully remote option for anyone in the U.S. who wants to join our team and help us grow. We also have an office space in the heart of downtown Chicago for those who prefer to get out of the house and collaborate with some colleagues in person. Who we are:Braviant is a leading provider of tech-enabled credit products that combines breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime to help millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work by Crain’s Chicago, BuiltIn Chicago and American Banker. We are building and scaling a high-performance consumer lending platform and are looking for a Senior Data Scientist to drive credit decisioning across the loan lifecycle. This role sits at the intersection of credit strategy, fraud, and analytics, directly impacting approval strategy, loss performance, and portfolio profitability. You will build and deploy models that inform key decisions around who we approve, how we price risk, and how we manage portfolio performance. This is a hands-on, high-impact role suited for someone who is business-oriented, data-driven, and biased toward action, not just model development. You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data into clear, actionable decisions that improve approval quality, reduce early loss, and drive sustainable growth. This role is Addison, TX-based with a 4-day in-office requirement and 1-day work from home. • Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance., • Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules., • Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions., • Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance., • Distinguish fraud risk vs credit risk, improving early default performance and reducing losses., • Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement., • Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution., • Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes., • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite., • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field, • 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space., • Advanced proficiency in Python for programming, data analysis, and predictive modeling, • Proficiency in SQL, Excel and experience with data visualization tools, • Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models, • Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping, • Passion for keeping your skills up to date and exploring new methodologies, • The ability to distill complex problems and analysis into a clear and concise narrative Preferred • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment., • Hands-on experience applying AI to credit risk management Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: • Comprehensive healthcare including medical, dental, and vision coverage, • Generous paid time off, including PTO, sick time, and 13 company holidays, • 401(k) with company contribution, • Participation in annual discretionary bonus plan, • Regular team and company gatherings What it's like to work here:We're about achieving results while having fun along the way. We believe in solving problems together and building on each other’s ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact at Braviant. Want to learn more? Check us out on , and our _ 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.

Cinder provides a cutting-edge platform to protect the internet. Trust & Safety teams at the world’s most influential companies need powerful solutions that allow them to innovate and adapt as quickly as the threats they face. Companies rely on our software to make policies, label, moderate, enforce, investigate, and disrupt threats like hate groups and state-sponsored disinformation campaigns. We’re seeking an Account Executive to join our team. We’re building an enterprise-grade platform to make the internet safer and we need highly curious, hard-working self-starters. We operate as a fully remote company with teammates in NY, DC, London, Austin, and SF, among other cities. This role will operate primarily in US Eastern time zone. We believe in the value of frequent in-person meet-ups and learning face to face. We offer health, vision & dental benefits and a 401(k) plan with employer matching. Work closely with new and existing customers to deeply understand their Trust & Safety challenges and goals. Work directly with the founding team, and in a team selling environment: investors, advisors, employees, founders. Everyone pitches in. Be relentless and intentional about building pipeline. Identify and empathize with key partner needs to launch and grow partnerships. Drive engagement with technical and non-technical buyers. Vertically integrate your work experience—to drive sales strategy and manage the nuts and bolts in Salesforce, Apollo etc to manage and grow a robust sales pipeline. Work closely with customer engineering teams to prioritize product improvements and new features to keep our existing product offerings sharp and relevant. Work closely with Cinder product designers and investigations experts to craft a consumer-grade experience for our customers. 2+ years of experience selling B2B SaaS to enterprise accounts with at minimum high five-figure deals. Wide-ranging curiosity. We are creating a category and shipping a product with little precedent. Strong candidates do not need experience with platform governance, but they must demonstrate curiosity and humility in learning a new space so they can communicate effectively with our buyers and user base. Experience successfully selling and winning complex, multi-month+ sales cycles. Comfortable operating at a small company—you’ve created or tweaked a successful sales motion, and seen one built from the ground up. Experience successfully navigating and leveraging partnership agreements. Experience with sales in a fluid category creation motion with multiple buyer personas Comfort with ambiguity and an ability to take initiative. Relentless optimism balanced with realism: assume the best, prepare for the worst, and never leave anything to chance. Familiarity with and understanding of how the internet and other technical tools can be used for harm. Excellent written and spoken English communication skills. Experience working for a social media, marketplace, or media company with knowledge of how attackers abuse these systems. Previous sales experience at a company known for producing sales talent who successfully close six-figure enterprise deals. Experience as a software developer, data scientist, or other technical background. Familiarity in information security, online safety, or other knowledge of how bad actors operate online. Experience selling software designed to empower teams defending against clear adversaries. As an Account Executive at Cinder, you’ll be central to Cinder’s growth and getting our product into the hands of the people who need it the most. We’re building and implementing the most advanced content safety system, and your customers and partner organizations are some of the world’s largest enterprises. Expect a front row seat in tackling the hardest problems for some of the most sensitive, impactful issues.

$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization. Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability). Build a

Analyze large-scale manufacturing data, including. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI.

Fusemachines is a leading AI strategy, talent, and education services provider.Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI.With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-t

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that pro

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the _ to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process _. We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: • Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks., • Lead projects on:, • Pinner LTV, • Tradeoff between ads and organic engagement, • Ads Delivery opportunities across different funnel stages, • Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference., • Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact., • Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights., • Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence. What we’re looking for: • 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics., • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience., • Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark., • Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems., • Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes., • Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences., • Track record mentoring and growing data talent at the staff/senior IC level., • Cross-functional leadership and the ability to align competing interests towards shared goals. Relocation Statement: • This position is not eligible for relocation assistance. Visit our_ page to learn more about our working model. In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-NM4 #LI-REMOTE

Manage data scientist and data specialist team.

About Axuall Built with leading healthcare systems, Axuall is a clinical workforce intelligence company built on top of a national real-time practitioner data network. It enables healthcare systems, staffing firms, telehealth organizations, and health plans to accelerate clinician onboarding, improve hiring and workforce planning, and maintain accurate provider data across enterprise systems. By delivering trusted data, AI-powered insights, and seamless data exchange, Axuall empowers healthcare organizations to improve operational efficiency, strengthen clinical coverage, and support revenue capture. Axuall's investors and the organizations they represent comprise over two dozen of the nation's leading healthcare organizations that recognize the imperative to improve clinical workforce efficiency amid significant economic and staffing challenges. About The Role Axuall is seeking an accomplished, energetic, and highly motivated Senior Data Analyst to join our Product team at a pivotal moment in our growth. This is a unique, high-impact role that sits at the intersection of product delivery and revenue generation: you will be responsible for key customer-facing insights and serve as a partner to our Sales team in winning new business. You'll work closely with Axuall's Data Scientist to develop advanced analytical insights into healthcare provider profiles using sophisticated modeling techniques. You'll bring that same rigor to customer-facing dashboards, utilization trends, and ROI storytelling across Axuall’s provider recruiting, credentialing, and directory management solutions. You will then carry it into presales, helping prospective health systems see, in their own data, what Axuall can do for them. The ideal candidate is highly detail-oriented, a self-starter, diligently organized, possesses excellent communication skills, and has a passion for excellence and values education, integrity, innovation, and success. What You’ll Do This role will focus on delivering data insights and analytics capabilities across Axuall’s customer base and go-to-market functions. You will be the analytical engine behind our customer-facing reporting, helping health systems understand the value Axuall delivers across provider recruiting, credentialing, and directory management. We are looking for people who feel comfortable taking on bold initiatives, who are both highly accountable and self-empowered. Some of the specific functions and responsibilities of this role include: Customer Product Delivery • Build and maintain customer-facing dashboards and reports that surface utilization trends, workforce insights, and automation ROI across provider recruiting, credentialing, and directory management, • Own the data analyst function across Axuall's customer-facing products, ensuring that reports, dashboards, and visualizations are accurate, insightful, and directly valuable to health system clients, • Translate complex provider workforce data into clear, intuitive visualizations that health system stakeholders, from operations to the executive suite, can act on Presales & Proof of Concept • Partner with the Sales team to produce data-driven proof of concept reports for prospective clients, demonstrating in their own data what Axuall's products can deliver, • Develop reusable POC templates and frameworks that scale consistently across the sales cycle Advanced Analytics & Data Science Collaboration • Work closely with and assist Axuall's Data Scientist in building complex analytical models and deep insights on clinicians and providers that are delivered directly to health system customers Data Source Analysis & Integration • Analyze new data sources to understand how they connect to Axuall's provider data model and evaluate how they can be leveraged across our products, • Document and communicate data relationships and integration opportunities to product and engineering teams Data Quality • Assist the data science and engineering teams in maintaining robust data quality standards across the platform, identifying anomalies, gaps, and inconsistencies before they reach customers What You’ll Bring Candidates for the Senior Data Analyst role must demonstrate hands-on experience and knowledge of industry best practices in the functions listed above. Specific requirements include: • 4+ years of experience in a Data Analyst, BI Analyst or similar role, • A deep understanding of healthcare data, especially claims data, provider specialties, referral, quality, and utilization dynamics. Familiarity with claims coding standards such as CPT, ICD, and UB-04 a plus., • Proficiency in SQL and at least one BI/visualization tool (Omni, Tableau, Looker, or equivalent), • Strong data wrangling skills and comfort working with messy, real-world datasets, • Experience building customer-facing dashboards or reports, including presenting findings to executive and operational audiences, • Ability to translate data findings into clear, non-technical business narratives for executive and operational audiences, • Experience supporting presales, solution engineering, or proof-of-concept functions is a plus, • Familiarity with healthcare data concepts (Claims data, credentialing data) is a plus, • Python or R for data analysis and automation is a plus, • Excellent written and verbal communication skills, • Possess a proven track record of taking ownership, taking initiative, and delivering results What You'll Get From Us We offer a wide range of benefits for our team including: • Comprehensive Health Insurance, • 401(k) with Employer Match, • Wellness Stipend, • Professional Development Reimbursement, • Work From Home Stipend, • Remote Work Flexibility, • Flexible PTO, • Paid parental leave In addition, Axuall is committed to fostering a diverse, equitable, and inclusive workplace that reflects the communities we serve and empowers every employee to reach their full potential. We encourage DEI through our Diversity in Tech (DiT) Employee Resource Group along with impactful programming that supports and fosters a place of belonging for our team members every day. Equal Employment Opportunity & Pay Equity Commitment Axuall is proud to be an equal-opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other legally protected characteristic. Axuall maintains pay-equity practices that prohibit reliance on salary history and require that compensation decisions be supported by legitimate, job-related factors. Interview Path • Talent Acquisition Interview, • CPO Interview, • Hiring Manager Interview, • Team Interview, • Case Study Reference Calls & Hiring Decision This role may be performed from any U.S. jurisdiction in which Axuall is registered to do business. Please note that certain localities may impose additional employment requirements that will be addressed during the hiring process. Please also note that we are currently unable to sponsor visas. While this role is remote-first, we require employees to attend an in-person orientation at our headquarters in Cleveland, Ohio. There may also be occasional instances where travel to our HQ is needed. Pay Transparency & Compensation Base Salary Range (Good-Faith Estimate): $115,000 - $130,000 Employment Classification: Full Time | Pay Frequency: Semi-monthly The posted range represents Axuall’s reasonable and good-faith estimate of the compensation the Company expects to pay for the position at the time of this posting. Actual compensation will be based on factors such as job-related knowledge, skills, experience, and internal equity.

This vacancy is part of a coordinated recruitment campaign for the Data Science Unit across Technopolis Group's offices. To check the general requirements or explore other locations, return to the _. Job title: Experienced Policy Data Scientist Consultant Location: Brussels Position: Full time / Permanent Technopolis Group is looking to grow its data science team. We are now looking to recruit a motivated and experienced Policy Data Scientist to join our Brussels team as a Consultant. About Technopolis Founded in 1989, Technopolis Group is an independent research and consultancy company, European leader in providing strategic policy advice to public sector institutions at the local, regional, national, and international levels (such as the European institutions) – as well as to third sector organisations, public-private partnerships and research organisations.Our Group is active in many areas such as R&I, Health, Higher Education, Green economy, Industry and entrepreneurship, Regional and urban development, Digital economy and Open science.We have grown steadily over the past 30 years and have and a track record of over 4,000 projects. Technopolis Group has offices in ten European cities and offices in Colombia (Bogotà) and Ivory Coast (Abidjan). Our team of consultants brings an educational mix in a variety of policy, social, environmental science disciplines, and linguistic richness, originating from 40+countries and covering 30+ languages.For more information: www.technopolis-group.com The team The selected person will be part of the Technopolis Group Data Science Unit (DSU), whose members work in different country offices. The growing team of DSU data scientists have diversified academic backgrounds but a shared passion for developing data science applications to improve policymaking. The unit works in policy consulting jobs for our clients but also conducts R&D to develop new, untested and exciting applications, potentially in collaboration with internal and external partners.The DSU is active in all types of data science applications in policymaking. See https://www.technopolis-group.com/solutions/data-analytics/. Examples include record linkage, building classifiers, semantic and sentiment analysis, web scraping and dynamic visualisations. Additionally, the team is looking forward to expanding its portfolio of techniques using real-time indicators, causal AI and generative AI. Experience in these last techniques, or a general understanding of their functioning combined with a demonstrable willingness to master them, is highly desirable.Main tasks and responsibilities The successful candidate will : • Shape policy recommendations using advanced data science methods and translate results into actionable messages for decision-makers, • Apply suitable data science techniques to deliver evidence-based consulting, • Develop and promote a proportionate and ethical use of AI and, • data science techniques, • Extract, clean, integrate and validate data from various sources to ensure high-quality datasets, • Develop dashboards and data visualisations to communicate insights effectively, • Prepare reports and presentations tailored to different target audiences, • Explain the strengths, limitations and opportunities of data science methods and internal databases to clients and non-technical colleaguesExperience and skills Applicants suitable for a Consultant position in data science should have: • A minimum of 3-5 years of experience in a consulting or research environment in data science applied to policy analysis, • A Master’s degree (or equivalent qualification) and demonstrate strong data science skills acquired through formal education (degree in data science, statistics or related), specialised training, or relevant professional experience. At least one of their academic degrees should be in a social science or a related field (such as economics, statistics, innovation studies, sociology, geography, or political science…) or include a strong foundation in the social sciences, • A PhD is a plus, • Knowledge of Python is required, knowledge of R and SQL is an advantage, • Experience of techniques such as NLP, machine learning, and LLMs is particularly desirable, • Experience with tools such as Git and Github, Docker and cloud platforms is highly desirable, • Beyond data science, applicants must have interest and experience in applied, policy-oriented work in at least one of Technopolis’ areas of specialisation. Our policy areas include science, technology and innovation policy, digital economy, climate and sustainability, entrepreneurship, health and life sciences, education and skills, international development and regional development., • Ability to deliver tasks under tight deadlines, • Strong communication and analytical skills, • Excellent command of spoken and written English is essential and fluency in other European languages is considered an assetWhat we offer, • A full time, permanent position, • An attractive salary package with benefits including hospitalisation insurance and a pension scheme, • A positive working atmosphere within a team of like-minded professionals in Brussels, while also being part of a larger international Group with multiple opportunities for international cooperation, • Good opportunities for career progression, from both a content perspective (thought leaders, methodological specialists) and in the areas of business development and company leadership We are committed to providing our employees with a supportive and rewarding work environment, and we offer a range of benefits to help them achieve their career goals and thrive in their roles.Career development: We believe in investing in our employees' professional growth and offer a range of opportunities for career development, including training programs, mentoring and coaching, and the chance to work on a variety of challenging projects across different sectors and regions. Our employees have access to a network of experts across the Technopolis Group, allowing them to learn from and collaborate with colleagues in other countries and areas of expertise.Work environment: We pride ourselves on our dynamic and supportive work environment, which is characterised by a culture of collaboration, innovation, and excellence. Our employees work in modern and comfortable offices, and we promote a healthy work-life balance with flexible working hours and the option of working from home. We also offer social events and activities, such as team-building exercises and cultural outings, to foster a sense of community and help our employees build strong relationships with their colleagues.We are an equal opportunities employer and welcome applications from all suitably qualified persons with a residency and work permit in Belgium. How to apply Applications can be done directly on Technopolis website (reference: DS0525) and include a cover letter and an Europass-style CV. Application deadline: 13 June 2025. Early applications are encouraged. Applications will be assessed on a rolling basis until the position is filled. Only short-listed candidates will be contacted. Applicants should have the EU citizenship or a valid work permit to apply.

Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building. We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. Support risk and lia

At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department.

As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Scale your work to other parts of the data organizat

Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment will measurably improve outcomes for analysts and clients. Experience with data visualization and analyst-facing tooling (Tableau, Power BI, D3. Experience with big data te

About Us About the Role We are looking for a data scientist who will bring a deep understanding of our sportswriting, our in-game experience, and the way our subscribers use The Athletic to help us make our best-in-class product even better. In this role, you will work closely with our data, product, growth, and engineering teams to develop advanced machine learning models. These models will help us understand our business, optimize and automate our workflows, and have our product make smarter recommendations. As a member of our small data science team, your work will have a significant impact at The Athletic. This role is 100% remote for candidates currently residing in either the United States or Canada. • Design, build, and implement mathematical models to drive key long-term product goals, like training a model that predicts which of our free users are most likely to subscribe, or recommending the right articles to the right users at the right time., • Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the job., • Use quantitative analysis to deeply understand what our users are saying, and to develop recommendations based on that analysis., • Design and develop data science pipelines in production., • Guide complex experiments., • Cultivate an outstanding data science environment., • 2-4 years of experience as a data scientist or data analyst with a proven ability to apply scientific methods to solve real-world problems on web scale data., • Strong working knowledge of a scripting language like R or Python and how to use it to train machine learning models and put them into production., • A solid understanding of SQL with an ability to efficiently pull and write to our data warehouses., • An understanding of subscription media and recommendation engines, with the ability to turn it into insights and optimizations., • Knowledge of statistical principles and how they apply to predictive modeling., • Strong verbal and written communication skills with ability to build cross-functional relationships., • Can explain sophisticated concepts to diverse audiences and craft compelling stories with data.The annual base salary range for this role is $125,000.00 - $135,000.00 USD. The total compensation offered for this position may vary based on factors such as education, experience, skills, and location. It may also include non-cash rewards and benefits. The base salary range is subject to change and may be modified in the future. The Athletic offers unique perks and benefits to all full-time employees based on their country of residence. Our comprehensive US benefits package includes: • Highly competitive, employer-contributed medical, dental, vision, basic life and disability insurance plans.- Savings accounts for medical, wellness, and childcare expenses.- 401k retirement savings plan and employer match.- Paid time off including paid sick leave, 12 paid holidays, 15 days of accrued vacation to start, and up to 20 weeks of Paid Parental Leave. For international candidates: Our global benefits packages offer similar benefits and perks, competitive to the local market. The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law. Click here to review our _, which describes how and when The Athletic Media Company collects, uses, and shares certain personal information of job applicants and prospective employees. Beware of fraudulent job recruiting schemes! Our recruiters use exclusively, and our team members will use an email address with @ domain. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information, such as bank accounts or social security numbers. If you have been contacted by someone claiming to be a member of the recruiting/HR team at The Athletic but operating from a different email address about a job offer, please report it as potential job fraud to the law enforcement and to _.

Scribd, Inc. is on a mission to advance human understanding. Our four products — Scribd®, Slideshare®, Everand™, and Fable — help billions of people across the globe move beyond access and into insight, application, and expertise. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location. So what are we looking for in new team members? At Scribd, Inc., we hire for “GRIT.” Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude. This posting reflects an approved, open position within the organization. About the team The Applied Research team is a group of data scientists and content specialists who are experts in leveraging machine learning, natural language processing and generative AI models to develop solutions which deliver value to our users and business. We act as a key driver for innovation, whether it’s in product surface experimentation, metadata generation or model development. Along with Product and Engineering partners, we design solutions and collaborate in cross-functional squads to maximize business impact. Our areas of impact include content enrichment, representation learning, recommendations, search, translation and many others, applied to diverse media across text, image, and audio. We operate at a scale of hundreds of millions of documents, millions of users and billions of user interactions. Role Overview We are seeking a Data Scientist II with experience developing and deploying machine learning models. You will help design and implement high impact AI and ML systems. We work in cross-functional teams collaborating with Machine Learning Engineers, Data Engineers and Product. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models. Responsibilities Focus on a variety of content classification use cases, leveraging everything from traditional NLP to sophisticated LLMs and generative models Investigate methods of solving our most challenging problems at Scribd, at scale Collaborate with other Data Scientists, Machine Learning Engineers and ML Data Engineers on cross-functional projects Leverage any algorithm at your disposal: from classical Scikit-learn and NumPy models to custom Neural Networks in PyTorch to third party LLM APIs Process massive amounts of data with Python, SQL and Spark Align with stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project documentation Requirements 3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments. Proficiency in Python. Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar. Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models. Intermediate level or greater experience with SQL or PySpark. Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $118,000 [minimum salary in our lowest geographic market within California] to $184,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $97,000 [minimum salary in our lowest US geographic market outside of California] to $175,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $123,000 CAD[minimum salary in our lowest geographic market] to $164,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Are you currently based in a location where Scribd, Inc. can employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits at Scribd, Inc. Scribd Flex (flexible work model) Comprehensive health, dental, and vision coverage Mental health support and disability coverage Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals Paid parental leave and family support benefits Retirement matching and employee equity Learning and development programs and professional growth opportunities Wellness and home office stipends Complimentary access to the Scribd, Inc. suite of products Enterprise access to leading AI tools Get to Know Scribd, Inc. _ _ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for the better. With our flagship product, the Pod, we are addressing critical sleep issues such as temperature regulation, bed elevation, snoring reduction, and the wake-up experience. Hundreds of thousands of customers around the world sleep better every night thanks to the Pod. But we’re just getting started. We’re committed to developing more groundbreaking products to tackle additional sleep problems, changing the role sleep plays in our lives forever. We’re excited about the journey ahead and the impact we can make as we continue to innovate and expand our offerings to fulfill our mission. We are backed by leading Silicon Valley investors like YC Combinator, Founders Fund, Valor, and Khosla Ventures, and we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023.The Pod was also recognized two years in a row by TIME's “Best Inventions of the Year.” We currently sell the Pod in the United States, Canada, the United Kingdom, Europe, and Australia. Before you apply Eight Sleep is an intense environment: we’re demanding and ambitious, which means we ask a lot of ourselves and one another. This means fantastic learning, achievements, and career growth, but it also requires a significant commitment. Our dedication, drive, and intensity rivals those of Olympic athletes. At Eight Sleep, we have Kobe Bryant’s mamba mentality - we always aim to be at the best 1% of what we do. If you’re looking for a 9-5, this is not for you. Our employees report working up to 60 hours per week. If you want to be challenged and pushed harder than ever before, we invite you to apply. The role We’re seeking a data-driven and detail-oriented Data Analyst (an individual contributor) to join our Data & Analytics team within the Growth organization. The ideal candidate has a proven track record delivering insights that influence the product and marketing roadmaps. This role will use sales, marketing and ecommerce data to build reporting, dashboards and KPIs while extracting findings from complex analyses. How you’ll contribute Analyze marketing and ecommerce data sets to identify trends and unique insights that optimize the Performance Marketing and Web programs Design and analyze lift-based/incrementality experiments across Performance Marketing channels (Facebook, Search, YouTube, OTT, etc.) Create and maintain dashboards and visualizations using Looker and other tools to provide key insights to the Growth team Build statistical models that produce revenue projections and ad spend allocation Assist in managing our data warehouse; building and maintaining data pipelines, data models and automating workflows Utilize data to deepen Eight Sleep’s understanding of user acquisition and improve performance at the portfolio and channel level Act as a key driver in building and improving Eight Sleep’s marketing attribution modeling What you need to succeed Minimum 3+ years experience as a Data Analyst, Data Scientist, Analytics Engineer or similar technical role B.S. degree in Business, Finance, Mathematics, Statistics, Economics, or other quantitative field preferred Expert-level knowledge of SQL, experience using Python or R is a plus Advanced knowledge of end-to-end data infrastructure, including using data pipeline tools, data transformation tools such as DBT and data warehousing best practices Expert knowledge of business intelligence tools such as Looker, Tableau, and Google Sheets/Excel A data-driven approach to performance marketing and experience utilizing large data sets to inform strategic decision making Highly effective written and verbal communication skills Ability to translate complex findings into actionable insights Be an Independent self-starter who thrives in a fast-paced environment and is comfortable owning a high level of responsibility Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own _, along with*: Full access to health, vision, and dental insurance for you and your dependents Supplemental life insurance Flexible PTO Commuter benefits to ease your daily commute Paid parental leave *List of benefits may vary depending on your location We will hire for this role in US/EU/LATAM, but working hours will be EST. Note: Employees approved for remote work must perform their duties from a single, company-approved based location #LI-Remote At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, _ turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: • Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products., • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions., • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions., • Establish and maintain best practices for data collection, analysis, and reporting., • Deliver actionable insights and recommendations focused on landing tangible product impact., • Help foster a culture of data-driven decision-making and continuous improvement within the product teams., • Ensure the integrity and accuracy of the data used for analysis and reporting., • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: • Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data., • Expertise in translating complex data into insights that are actionable for cross-functional teams., • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience., • Experience in building and maintaining reliable analytics infrastructures., • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders., • Experience with 0 to 1 product initiatives is a plus, though not required., • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience., • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required., • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required., • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus., • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential., • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $160,000 - $200,000 USD Tier 2 Pay Range (All other US Locations) $140,000 - $176,000 USD Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more _

You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams.

Senior AI Engineer / Data Scientist (Consulting) </div> </div>Location: United States (Remote) </div>Employment Type: Full -Time / Contract </div>Experience Level: Senior </div> </div>About the Role: </div>We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer -facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client -facing implementation. </div> </div>You will design, deploy, and maintain production -grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base. </div> </div>Key Responsibilities: </div> </div>* Technical Consulting: Lead end -to -end ML implementations directly with clients, translating business problems into robust technical solutions. </div>* MLOps and Pipelines: Design, build, and maintain production -grade ML pipelines with a strong focus on CI/CD, automation, and scalability. </div>* GenAI and NLP Deployment: Implement and optimize cutting -edge Generative AI applications (such as LLMs and RAG) in live production settings. </div>* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark. </div>* Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non -technical audiences. </div> </div>Required Qualifications: </div> </div>* 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory). </div>* 3+ years of experience in a customer -facing consulting or Solutions Architect role. </div>* Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment). </div>* Solid hands -on experience with containerization (Docker) and data pipeline orchestration. </div>* Proven track record of deploying Generative AI and NLP solutions for client applications. </div>* Excellent verbal and written communication skills. </div> </div>Preferred Qualifications: </div> </div>* Hands -on experience with modern ML platform stacks, specifically Databricks MLOps Stacks. </div>* Deep knowledge of large -scale data processing and distributed machine learning techniques. </div>* A strong commitment to continuous learning in emerging ML fields and GenAI application architectures. </div></span>

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? As Senior Software Engineer for our Feature Store product, you will be the driving force behind our platform. You’ll own the technical vision, lead execution, and serve as the primary technical voice with our most strategic customers—including major banks and enterprise organizations with demanding requirements around performance, reliability, and compliance. This role blends deep technical leadership with customer-facing responsibilities. You’ll spend time architecting systems, guiding the roadmap, setting engineering standards, and engaging directly with customers to understand their needs and translate them into product capabilities. • Own Technical Excellence: Define and drive the architecture, design patterns, and engineering standards for the feature store platform. Set a high bar for code quality, system reliability, and performance., • V2 Implementation: Assist and execute the next generation of our feature store—building for scale, low-latency serving, and enterprise-grade reliability., • Guide Product Roadmap: Partner with Product and leadership to help shape the technical roadmap. Translate customer requirements and market trends into actionable engineering priorities., • Drive Adoption of Modern Practices: Champion the use of AI-assisted development tools, observability best practices, and infrastructure automation to accelerate delivery., • 5+ years of experience in backend/infrastructure engineering, with demonstrated expertise in building large-scale distributed systems, • Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale, • Expertise in Python, Go, and Rust, • Strong knowledge of cloud platforms (AWS, GCP, Azure) and modern data infrastructure (Kafka, Flink, Redis, Spark, or similar), • Experience working with enterprise customers, particularly in regulated industries like financial services, • Excellent communication skills—able to translate complex technical concepts for both engineering teams and business stakeholders, • Direct experience building or operating feature stores (Feast, Tecton, Hopsworks, or custom implementations), • Experience with real-time feature serving at sub-millisecond latencies, • Background in financial services, banking technology, or compliance-heavy environments, • Contributions to open-source ML infrastructure projects, • Hands-on experience as a data scientist or ML practitioner—training and deploying models in production, • High-Impact Role: Own a critical product line and directly influence how the world’s leading organizations build ML systems, • Enterprise Customers: Work with banks, financial institutions, and Fortune 500 companies solving real, complex problems, • Technical Depth: Tackle challenges in distributed systems, low-latency serving, and ML infrastructure at scale, • Competitive Compensation: Salary, equity, and comprehensive benefits, • Flexible Work: Remote-friendly culture with flexibility to do your best work As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to _. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the in order to evaluate candidates.

SmarterDx, a company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at . We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers. This role is fully remote within the US • Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions, • Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results, • Prototype analytics solutions and data products to accelerate product development, • Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications, • Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data, • Building, maintaining, and testing data models which support reporting and analytics., • Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning, • 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep), • Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations, • Masters in statistics or other relevant fields preferred, • Ownership: Build and own features from start to finish., • Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights., • Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so., • Product focus: How can we maximize the utility and value we deliver to our end users?, • Familiarity with experiment design and statistical analysis, • Experience with health system clinical and/or revenue cycle data is preferred, • Data Visualization: Hex and Evidence, • Analysis: Python & Data Science libraries (numpy, pandas, etc), • Pipelines: Snowflake, dbt, airflow, git, and AWS $160,000 - $190,000 #LI-Remote • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan., • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents., • Remote-First Team – Work from anywhere in the U.S., • Unlimited PTO & 10 Holidays – So you can relax and recharge., • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match., • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters., • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

Prominence Advisors is actively seeking a Senior Data Scientist to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex data into actionable insight. We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News & World Report-ranked institutions. Through our life sciences brands, Tegra Analytics and WLH Consulting & Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations — combining data, consulting, and learning to advance commercial excellence. By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter. Job Summary Prominence is looking for a Senior Data Scientist with deep experience in applied machine learning, statistical modeling, and generative AI to help deliver advanced analytics solutions alongside some of the nation's leading healthcare providers. This role will design, build, and deploy models and AI-powered applications that help healthcare organizations improve patient outcomes, optimize operations, and accelerate research. Helping our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational workflows. • Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring., • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement., • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows., • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries., • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders., • Manage documentation of best practices and scalable frameworks that can be applied across client engagements., • Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables. Minimum Qualifications • 3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role., • Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation., • Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting)., • Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring)., • Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines., • Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake., • Strong communication skills with the ability to present technical findings to non-technical audiences. Desired Qualifications • Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies., • Experience with population health analytics, risk stratification, or social determinants of health., • Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research., • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks., • Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker)., • Revenue cycle, staffing optimization, or other operational analytics experience., • Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline Skills, Knowledge, and Abilities • Professional: Demonstrates a high degree of professionalism by treating others with respect, keeping commitments, building trust within the team, working with integrity, and upholding organizational values ("Do Great Work and Move Mountains”)., • Organized: Capable of managing multi-faceted work streams efficiently, ensuring smooth project flow., • Self-Motivated: Adept at managing personal schedules, meeting deadlines, and monitoring work quality independently., • Highly Adaptable: Quickly acclimates to new project assignments and diverse work environments., • Creative: Approaches problems with a solution-oriented mindset, working collaboratively to find novel solutions., • Communication: Effectively conveys clear and concise messages that resonate with the intended audience, both in written and verbal forms., • Proactive: Anticipates potential issues, addresses concerns before they escalate, and effectively raises them when necessary., • Team-Oriented: Passionate about mentoring and guiding others, thrives in a team-based environment. Physical and Medical Standards, Working Conditions and Environment • Must be able to sit or stand at a computer and work remotely and independently from personal home office, • Willingness to travel for onsite meetings and business reviews as needed Hours Worked This is a Full Time, 40 hour per week position. This role is part of our active pipeline for upcoming client engagements and is contingent on project availability, with timing aligned to client demand. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: • Competitive Salaried and Hybrid Compensation Plans, • Health Care Plan (Medical, HSAs, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Dependent & Health Savings Accounts, • Short Term & Long Term Disability, • Paid Time Off (Vacation/Sick & Public Holidays), • Training & Development Fund, • Work From Home, • Charitable Giving to Causes You Believe In Must be legally authorized to work in the United States without sponsorship. The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology. Benchling's mission is to unlock the power of biotechnology. The world's most innovative biotech companies use Benchling's R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science. Benchling is building Intelligence Engineering & Enablement, a small autonomous team within our Security & IT organization. We own three things: internal AI tooling, adoption, and AI-assisted workflows across the company; cross-functional and company-wide agentic AI applications that span departmental boundaries; and the source-of-truth datasets, pipelines, and analytics that all of the above depend on, in partnership with our Data, Analytics & Systems team. We span the bridge between departmental AI experimentation and enterprise-grade agentic systems in production — rapidly prototyping new solutions, and graduating proven prototypes into hardened, well-governed systems with full SDLC rigor. We're built to be enablers. We set the patterns, standards, and shared infrastructure that let departmental teams and AI power users across the company build their own solutions, and we take on the agentic systems that no single team owns. It's early days for enterprise agentic AI at Benchling, and we'll be moving fast — iterating on prototypes, learning from internal customers, and changing direction as the field matures. As the founding engineer for this team, you'll own the technical direction, architecture, and delivery of our agentic AI portfolio. You'll be a player-coach — hands-on most of the time, leading by doing — and partner closely with our AI Product Manager on prioritization and our Data, Analytics & Systems team peers on the data foundations that agentic systems depend on. This is a senior individual contributor role on a flat team: you'll lead the engineering team in ideation, planning, and delivery and you'll drive technical hiring, while people management responsibilities sit with the hiring manager. Check out our engineering blog for examples of past work across Benchling. Shape technical direction and architecture: Define the foundational architecture for enterprise agentic AI at Benchling — orchestration, agent frameworks, tool integrations (including MCP), memory and state management, evaluation, and observability. Make clear build vs. buy decisions across the stack with documented rationale. Build and ship the early portfolio yourself: Write production code at least half your time, particularly during the team's first year. Stand up the CI/CD, testing, evaluation, and deployment infrastructure for agentic systems — leveraging existing patterns from Benchling's Build organization wherever possible. Graduate prototypes from the AI Product Manager's discovery cycles into hardened, production-grade systems and own production support under a "you build it, you run it" model. Design for enterprise from day one: Build for multi-tenant isolation, secrets management, audit logging, payload encryption, role-based access controls, and human-in-the-loop controls calibrated to risk. Partner with Security Engineering on threat modeling for agentic architectures — prompt injection, tool misuse, data exfiltration vectors. Enable builders across the company: Coach power users and departmental teams on production patterns, develop the criteria that decide which prototypes graduate into enterprise-grade systems, and build the internal-facing developer experience — templates, SDKs, sandboxes — that lets builders outside this team ship safely. Partner across functions: Work closely with our Data, Analytics & Systems team peers on the source-of-truth datasets and pipelines that agentic systems depend on. Engage with department leaders on the workflows we're transforming, and with Benchling's platform and infrastructure teams to leverage existing capabilities rather than build parallel systems. Elevate engineering standards: Set the bar for code quality, testing and evaluation, documentation, and on-call practices. Drive technical hiring through interview loop design, bar-raising in interviews, and representing the team to senior candidates. Mentor engineers on the team and other AI builders across the company. 7+ years of professional software engineering experience building production systems, with strong systems design fundamentals. Hands-on experience building production systems that integrate with LLMs and/or agentic patterns: orchestration, tool use, memory and state management, evaluation, and observability. Demonstrated understanding of how to optimize workloads across deterministic and non-deterministic capabilities, striking the right architectural balance for the needs of the specific solution being implemented. Production experience with at least two of: Python, TypeScript/Node.js, Go; comfort with working across the stack. Hands-on expertise with LLM APIs (OpenAI, Anthropic), agentic frameworks (LangChain, CrewAI), RAG over business content (Confluence, contracts, policies), vector databases (pgvector, Pinecone), workflow automation (n8n, Langflow), and LLM observability and evaluation tooling (LangSmith, Arize). Track record of going from zero to one: a platform, function, or product area you built up from scratch and scaled. Experience operating in regulated or security-sensitive environments. Solid grasp of enterprise security fundamentals — encryption, access controls, audit logging, secrets management. Comfortable exercising technical leadership independent of positional authority. You set direction, raise the bar in design reviews, and grow other engineers through influence. Build software with a product-first approach. You ship code quickly and care about the real-world impact of your work. Enjoy ownership and building key pieces of platforms. Strong communication skills with both technical and non-technical audiences. You can translate department workflows into engineering plans, and engineering tradeoffs into business language. Interest in learning more about life science (prior knowledge is not required). NICE TO HAVE Background in enterprise SaaS, life sciences, or biotech. Familiarity with LLM orchestration patterns and frameworks (LangGraph, MCP, agent SDKs from major model providers). Experience with async orchestration (Temporal, Prefect, Airflow) applied to long-running or agentic workflows. Familiarity with SOC 2, HIPAA, or GxP compliance as they apply to AI systems. Experience building internal developer platforms or internal tools at scale. Direct experience coaching or enabling non-engineers (analysts, ops staff, business power users) to build with AI tooling. #LI-Remote #BI-Remote #LI-CG1 Benchling welcomes everyone. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation. You will... • Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving., • Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale., • Architect and build the engineering foundations of our long-term mapping infrastructure., • Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data., • Design and develop comprehensive metrics, observability, and anomaly detection across various systems., • Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs., • Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. Qualifications: • BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures., • Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust., • Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept)., • Hands-on experience building distributed systems on modern cloud platforms. Bonus/nice to have: • A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates., • Prior experience with autonomous vehicles, HD mapping, or robotics., • Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS., • Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems., • Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka)., • Open-minded and collaborative team player with strong willingness to help others. The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.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.

VoteShield (a project of _) seeks a highly motivated and civic-minded Data Scientist to join our growing team. VoteShield supports election officials in maintaining complete and accurate voter data in order to protect free and fair elections for all qualified voters. As a member of this world-class analysis and engineering team, you will analyze public voter registration data, work with election administrators, support Protect Democracy on a variety of data projects, and grow your technical skills. This position is remote* based in the US. Ideal candidates will be critical thinkers with a command of data analysis techniques and the ability to distill findings into clear, accessible reports, presentations, and other data tools. We are seeking people who bring an interest in civic data, commitment to non-partisanship, and passion for defending and strengthening our democracy through free and fair elections. At Protect Democracy, we bring an integrated advocacy approach to solving issues facing U.S. democracy. As a part of our integrated advocacy approach, our data scientists conduct analyses that support our mission alongside legal and policy experts, organizers, and communications strategists. Together, we run novel data experiments that address a range of critical pro-democracy use cases, from enhancing the in our elections to and accountable, to informing and inspiring advocacy for proportional representation. We do not expect that any one candidate will have all of the experiences and requirements listed — our current data science team comes from a variety of professional backgrounds, including academia and the public and private sectors. We highly encourage you to apply if the job description gets you excited about the role and the work of Protect Democracy & VoteShield. As a data scientist, you will: Review and analyze changes in public voter registration data and absentee ballot data in order to provide election officials with timely insights and answers to data questions; Write and present data reports that are accessible to the team, partners, and election administrators; Conduct legal/policy research as needed to provide context for your reports; contribute to research that utilizes VoteShield’s unique datasets and skills to assess election administration policies; Partner with colleagues across Protect Democracy to enhance their work with data analyses, custom tools, automation, and more; Expand and enrich our current data with external datasets; Create, refine, and document your standards for reporting, and compare and collaborate to develop best practices for the team; Build and maintain relationships with current and prospective partners in the election community. The ideal candidate brings: Interest in public or civic data and commitment to data-driven and non-partisan analysis; Ability to communicate a clear story with data, both in writing and presenting, that describes the context, insights, conclusions, and open questions; Proficiency in Python; A relevant bachelors degree, or equivalent experience; Growth mindset and comfortability with an open and transparent culture that values feedback up, down and sideways; Excellent critical thinking skills, demonstrated by enthusiasm for investigating novel problems and exercising sound judgment about how to get to optimal solutions; Rigorous attention to detail and the highest standards for excellence in execution; Ability to track, prioritize, and, where necessary, triage work in order to use time in the most efficient and productive way; Comfort working with small teams, proactively working to build the organizational culture and figure out what’s needed to move your work forward. Pluses, but not required: Experience in social science research; Knowledge of public policy and/or political science; Experience with election administration or voting data. Compensation The starting salary range is $84,300-$92,000, commensurate with the candidate’s relevant experience, capabilities and skills and in alignment with internal equity. About Protect Democracy *Flexible location. We are a remote-first organization based exclusively in the United States, meaning our staff work within the US and primarily virtually. We also offer shared workspaces for those who enjoy working in an office environment. We are established for remote work in many states across the country, and while candidates based anywhere in the United States are welcome to apply, we may not be able to offer employment in your current location. If you proceed in the hiring process, we will discuss where you currently live and what is possible in our initial interview. All staff are also required to travel at least two times per year to team retreats, and this role may require periodic travel. Accommodations to this requirement will be made only in exceptional circumstances. Commitment to an inclusive workplace. Protect Democracy is an equal opportunity employer. We believe that a broad range of backgrounds, perspectives, and lived experiences strengthens our ability to analyze problems, craft solutions, and drive meaningful change. Protect Democracy encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, or veteran status. Phenomenal benefits. Our benefits package includes generous sick leave and a flexible vacation policy where we encourage team members to take 4-5 weeks every year, along with 12 paid holidays, 6 weeks of paid family medical leave, and 18 weeks of paid parental leave. We also offer a 401(k) plan with up to 6% employer match that vests immediately. Additionally, we cover employee medical premiums at 100% (with up to 95% coverage for dependents depending on plan selection), and employee and dependent’s dental/vision at 100%. All employees have access to long-term disability and life insurance, fertility benefits, a home office stipend, and bonuses at the discretion of the Executive Director. Ample opportunities for personal & professional development. Candidates who do not meet all listed criteria should still apply, as our organizational structure focuses on providing mentorship and opportunities for professional growth. Applications will be reviewed on a rolling basis and our hope is that new team members will join us as soon as possible (and no later than September 2026). Important notes Contact _ if you require specific accommodations at any point in the hiring process. Keep an eye on your promotions/spam folders to avoid missed communication. We are unable to provide status updates for each application we receive. If you reach out and do not hear back, please know it is not for lack of appreciation or interest, but simply for lack of staff capacity to respond to individual inquiries. The application will include a voluntary EEO survey so that we can monitor the applicant pool as a whole for representation and equal employment opportunities, and to evaluate our progress as an organization toward a diverse and inclusive workforce, which we believe is a pillar of a thriving democracy. The categories used by the EEO survey are limited and may not reflect your lived experience; please feel free to opt out of any of the questions. Your responses to this survey are entirely separate from your application materials, are not accessible to those responsible for hiring decisions, and will not affect your candidacy in any way. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

We are seeking a Data Scientist to join their team. Our client, a trusted government contractor, is searching for a dedicated Data Scientist to support a high-impact U.S. Government project. This full-time role will provide technical expertise essential for maintaining mission-critical software and systems, contributing directly to the client's key objectives. Must Have's: • An active or reinstatable TS/SCI with Polygraph security clearance., • U.S. citizenship., • Strong software development skills., • Ability to work independently and collaboratively within a team., • Strong communication skills., • Experience in adversary defeat, mission management, metrics, and data visualization., • Proficiency in data compilation from multiple sources using computer scripting, statistical analysis, and data modeling., • Knowledge of large networks, telecom systems, and expertise in applying data science to interpret complex data sets. Location: Annapolis Junction, MD Salary: $50,000 to $120,000 Benefits: • Comprehensive CareFirst Medical, Dental, and Vision Coverage for employees and dependents., • Up to 25 days of Paid Time Off (PTO), with 40 hours carryover., • 11 Federal Holidays., • Flexible work-from-home options., • 401K with company contribution, fully vested from day one., • Opportunities for discretionary, certification, and sign-on bonuses., • Employee referral bonus program., • Annual professional development funding., • Fully covered life and disability insurance, with voluntary additional life insurance options., • Employee Assistance and Travel Protection Programs., • Financial planning assistance, bereavement, and jury duty leave., • Monthly team and family events, technology budget, Global Entry, and an annual swag budget. Mission Box Technologies is an Equal Opportunity Employer. We value the benefits of diversity in our workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity and expression, national origin, disability, protected Veteran status, or any other attribute or protected characteristic by law. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for potential access to classified information. Accordingly, US Citizenship is required. Our strategic partner is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract of employment and are subject to change at the discretion of our strategic partner.