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].
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.
Principal Data Scientist GTT, LLCPrincipal Data ScientistOakland, CAThe Principal Data Scientist leads the design, development, and execution of scripts, programs, models, user interfaces, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating defensible, valid, scalable, reproducible, and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. This client is a major utility and energy company delivering both natural gas and electric power to approximately 16 million people across a 70,000-square-mile service area spanning northern and central California making it one of the largest combined energy utilities in the United States.
Data Scientist PeopleNTech LLCData ScientistSanta Clara, CAEssential Functions Explore and aggregate data independently to uncover data anomalies that impact algorithm performance. Data Scientist JD: Experienced data science, engineering, mathematics, or related work experience is required.
Senior Software Engineer, ML Platform NxT LevelSenior Software Engineer, ML PlatformSan Francisco, CAThis person will design, build, and maintain the core systems that support model development, production deployment, batch inference, real-time inference, feature stores, observability, and underwriting infrastructure. This is a strong fit for an engineer who enjoys building developer-friendly platforms, creating clean abstractions, and owning infrastructure that powers real business decisions.
NewSenior Data Scientist Nesco Resource, LLCSenior Data ScientistSouth San Francisco, CA$40.53–$92.63 / hourClient is seeking a Senior Data Scientist to develop, deploy, and industrialize enterprise applications that leverage machine learning to extract value from structured and unstructured data across Commercial and Medical organizations. " Proven experience collaborating with cross-functional teams, including data science product owners, ML engineers, and MLOps teams to deploy production-ready machine learning applications.
Entry level Java developer/ data scientist SynergisticITEntry level Java developer/ data scientistSan Jose, CA$90,000–$154,000 / yearSince 2010 , SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client , and more—often with offers between $90,000 and $154,000 depending on role and expertise. SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer , Java full stack engineer , Python/Java developer , DevOps/cloud engineer , plus data-track roles like data analyst , BI analyst , data engineer , data scientist , and ML/AI engineer .
Junior Data Scientist with BI Skills SynergisticITJunior Data Scientist with BI SkillsLivermore, CA$95,000–$154,000 / yearSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
NewSenior Data Scientist MindlanceSenior Data ScientistSouth San Francisco, CA$50–$90 / hourThe 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.
Data Scientist Diversity NexusData ScientistSan Jose, CAStrong written and verbal communication skills, including the ability to translate complex data findings and statistical metrics into actionable business insights for non-technical stakeholders." Proven ability to work independently, manage end-to-end data projects (from discovery to deployment), and thrive in a fast-paced, data-driven setting.
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.
Data Scientist/Engineer - Junior (Remote) SynergisticITData Scientist/Engineer - Junior (Remote)Dublin, CARemote$95,000–$154,000 / yearSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Data Scientist, AI Solutions DataVisorData Scientist, AI SolutionsMountain View, CA$120,000–$170,000With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Working at the intersection of fraud domain expertise and data, you will partner closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate how fraud actually happens into scalable, automated defenses.
Data Scientist Ursus, Inc.Data ScientistFoster City, CA$180,000–$220,000 / yearDesign, build, and optimize ML models and solutions spanning traditional statistical ML, neural networks, and deep learning to solve real-world problems in large-scale, real-time digital performance analytics. This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics who are passionate about building scalable, intelligent systems and who actively leverage AI tools to accelerate their work.
Data Scientist Pyramid Consulting, IncData ScientistPleasanton, CAExperience manipulating data sets and building statistical models, has a Master s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. 4. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
NewSenior Data Scientist Manufacturing Analytics Macpower Digital Assets Edge Private LimitedSenior Data Scientist Manufacturing AnalyticsSunnyvale, CA$80–$90 / hourJob Summary: We are seeking a highly experienced Data Scientist to join our analytics team, with a focus on advanced data modeling and AI applications in manufacturing. Model Development : Design and implement machine learning models, including predictive and statistical models (e.g., regression, classification, clustering).
Senior Data Scientist – Commerce Supply Chain Optimization Fanatics CommerceSenior Data Scientist – Commerce Supply Chain OptimizationRedwood 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.
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 Science Manager TapestryData Science ManagerMountain View, CaliforniaOriginally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. Multi-Stage Quality Control: Ensure data integrity across the pipeline by establishing frameworks to assess intermediate datasets and metrics within multi-stage machine learning processes.