NewDOR Data Scientist/Engineer StratAcuity Staffing Partners IncDOR Data Scientist/EngineerPleasanton, CA$75–$83 / hourIn terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. The work is project-based, research-driven, and highly collaborative, requiring a high level of technical breadth and autonomy to help researchers translate scientific questions into operational workflows.
Data Scientist, Technical Lead VOLEONData Scientist, Technical LeadBerkeley, CAAs we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead - Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems.
Senior Data Scientist – Commerce Supply Chain Optimization Fanatics CommerceSenior Data Scientist – Commerce Supply Chain OptimizationRedwood City, CaliforniaFanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores.
Senior Data Scientist, Marketing and Personalization Fanatics CommerceSenior Data Scientist, Marketing and PersonalizationRedwood City, California$170,000–$210,000 / yearFanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores.
Data Scientist, Principal Sunrise Systems IncData Scientist, PrincipalOakland, CAJob Summary : We are seeking an experienced Principal Data Scientist to design and develop predictive machine learning models, analyze large datasets, and deliver data-driven solutions that support business decisions. Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].
Senior Data Scientist – Business Analytics - AI Advanced Micro Devices, IncSenior Data Scientist – Business Analytics - AISan Jose, CaliforniaThe Senior Data Scientist – Business Analytics & AI is a senior individual contributor role responsible for driving data-driven decision making through advanced analytics, machine learning, and intelligent automation. This role partners closely with cross-functional teams to deliver scalable analytics solutions, predictive insights, and AI-enabled capabilities across business and financial domains.
NewSenior Data Scientist - ROCGJP00042821 Triune InfomaticsSenior Data Scientist - ROCGJP00042821South San Francisco, CAOverview: The Senior Data Scientist in Data, Analytics, and AI develops, deploys, and industrializes enterprise applications leveraging machine learning techniques to extract value from structured and unstructured data across Commercial and Medical domains. Proven track record of collaborating within cross-functional teams, partnering directly with data science product owners, ML engineers, and MLOps teams to deploy efficient, production-ready machine learning applications.
NewSenior Growth Data Scientist - New Products Hinge HealthSenior Growth Data Scientist - New ProductsSan Francisco, CaliforniaThis role will focus on building data science capabilities for a portfolio of emerging products and programs, including HingeSelect, migraines, GI, arthritis, and other new offerings, helping the team define how to position, launch, measure, and scale them. 3+ years of experience working with large datasets to solve business and technology problems and generate insights for decision-making.3+ years of experience using SQL and Python or R for data analysis and end-to-end analytical solutions.
Senior Data Scientist, Risk MudflapSenior Data Scientist, RiskPalo Alto, CaliforniaLead experimentation strategy and drive product innovation — Own end-to-end A/B testing frameworks, mentor teams on experimental design, and translate test results into actionable product improvements that directly impact key business metrics. Drive data-driven decision making across cross-functional partnerships — Collaborate closely with Product, Engineering, Ops, Risk teams, etc. to translate complex business requirements into analytical solutions and communicate insights to executive stakeholders.
Senior Data Scientist Tenex.AiSenior Data ScientistSan Jose, CaliforniaWe’re a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital , DTCP (formerly Deutsche Telekom Capital Partners) , Deepwork Capital , and the Florida Opportunity Fund . You will leverage large volumes of cybersecurity and operational data to create models that enhance our Managed Detection and Response (MDR) capabilities, including anomaly detection, threat scoring, and automated alert triage.
AI Data Scientist GammaAI Data ScientistSan Francisco, CaliforniaYou'll design A/B tests that measure product impact, build frameworks that reveal how our AI models perform across user segments, and investigate the hard questions: what makes a good AI-generated presentation, and why does a feature land differently for enterprise versus consumer users? Experience working with large-scale data and building metrics frameworks from scratch, including modern data stack tools like dbt and Snowflake and comfort analyzing unstructured or text data.
Data Scientist AvenData ScientistCampbell, CaliforniaLeveraging your expertise in statistical analysis, machine learning, and econometric modeling on extensive datasets, you will measure outcomes, identify causal impacts, predict future performance, and design innovative data-driven solutions. Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions.
Staff Data Scientist - Time Products GustoStaff Data Scientist - Time ProductsSan Francisco, CA$155,000–$189,000 / yearAbout the Team: You'll work closely with Product, Engineering, Design, and Finance partners embedded in our Time product teams - becoming the go-to data expert for your domain, defining and tracking metrics that reflect product health and customer outcomes, and surfacing insights that inform roadmap decisions. Strategic Partnership: Collaborate with product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategy, and guide data-informed decision-making.
Staff Data Scientist - Digital Intelligence SocureStaff Data Scientist - Digital IntelligenceSan Francisco, CaliforniaYou will help shape a critical Digital Intelligence capability within Socure’s fraud prevention and identity verification platform, using high-scale device, network, browser, mobile, session, and behavioral telemetry to build risk signals used in real-world production decisions. In this role, you will provide technical leadership for turning noisy, high-scale device, network, browser, mobile, API, and behavioral telemetry into production-grade fraud and identity risk signals.
Senior Data Scientist Knit HealthSenior Data ScientistSan Francisco, CaliforniaYou’ll own complex clinical problems from discovery through deployment: working with provider partners and clinicians to understand care workflows, extracting and shaping patient-level EHR data, designing scientifically sound solutions using Knit’s data and models, and evaluating and deploying tools that can be used in real healthcare settings. The data science team is responsible for understanding provider needs and clinical workflows, then turning patient-level clinical data from EHRs and Knit’s clinical models into scientifically sound solutions that can be used in healthcare settings.
Credit Strategy Data Scientist Global Placement FirmCredit Strategy Data ScientistSan Jose, CaliforniaRemoteYou will work on end-to-end development of data-driven credit solutionspartnering closely with cross-functional stakeholders to design, execute, and refine credit strategies that support responsible growth and customer success. This is an exciting opportunity for a data-savvy professional with fintech or payments industry experience to help drive business-critical decisions through advanced analytics, predictive modeling, and risk mitigation strategies.
Staff Product Data Scientist, Lending BlockStaff Product Data Scientist, LendingSan Francisco, CaliforniaInitially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. Drive localized cross-team impact by connecting measurement and insights across Lending products (Borrow, Afterpay, Square Loans) and partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy.
Data Scientist, Sensors LytenData Scientist, SensorsSan Jose, California$155,200–$232,800 / yearLyten is leading an industrial revolution through Lyten 3D Graphene, a breakthrough supermaterial unlocking a new generation of products — from lithium–sulfur batteries and energy storage systems to concrete admixtures, lightweight composites, and next-generation sensors that are revolutionizing industries. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.
Senior/Staff Data Scientist, Storefront QuinceSenior/Staff Data Scientist, StorefrontPalo Alto, CA$171,000–$285,000 / yearEnd-to-End Pipeline Ownership: Create new relevance ranking features, build automated end-to-end modeling pipelines in Python and SQL, deploy ML models into production, and run rigorous live experiments. You will report to our VP of Engineering and collaborate closely with engineering managers, software engineers, and product managers to move our capabilities from traditional models into near real-time, personalized, and Generative AI-driven experiences.
Data Scientist ParafinData ScientistSan Francisco, CaliforniaSince our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. Example projects: Building and shipping ML models (XGBoost and friends) that forecast merchant repayment behavior — from feature engineering through production deployment — to inform how we price and size offers.