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Top Data Science Jobs in San Francisco, CA

Mid level
Information Technology • Software
The System Integration and Data Migration Specialist is responsible for the deployment and integration of TotaraGov software solutions, managing data migrations, collaborating with customers on technical requirements, and executing detail-oriented data migration plans to ensure data integrity and effective implementation.
Top Skills: Computer ScienceInformation Technology
23 Days Ago
Remote
United States
Senior level
Senior level
Information Technology
The Data Scientist/Analyst supports AFWERX by leveraging data analytics, machine learning, and statistical modeling to derive insights that guide technology integration and funding strategies. Responsibilities include analyzing datasets, developing models, creating dashboards, and collaborating with stakeholders.
Top Skills: PythonRSQL
23 Days Ago
Remote
United States
Mid level
Mid level
Software • Transportation • Analytics
The Senior Cloud Engineer at GridMatrix will work on developing and managing data pipelines, optimizing cloud infrastructure, implementing secure storage solutions, and collaborating with cross-functional teams to ensure high performance and cost efficiency. The role requires hands-on experience with AWS and real-time machine learning solutions.
Top Skills: AWS
24 Days Ago
Remote
USA
133K-167K Annually
Mid level
133K-167K Annually
Mid level
Artificial Intelligence • Machine Learning • Software • Biotech • Pharmaceutical
As a Data Scientist II at Valo Health, you will work within a team to develop computational models and machine learning tools to enhance drug discovery processes. Responsibilities include data capture, analysis, visualization, and experimental design, along with the development of predictive models related to tissue engineering for drug candidates.
Top Skills: PythonSQL
24 Days Ago
Remote
United States
Entry level
Entry level
Digital Media • Gaming • Software
The Research Associate will work on data collection for an AI startup, conducting data analysis, providing feedback on AI performance, and learning new software skills. Responsibilities include executing use cases, documenting failures, and collaborating in a fast-paced environment.
Top Skills: CRMReportingSpreadsheets
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