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Top Social Impact Data Science Jobs in San Francisco, CA

7 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
212K-265K Annually
Senior level
212K-265K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Lead the data strategy for Headway's insurance platform, managing a team of data scientists to improve insurance operations and patient outcomes through data-driven insights and predictive modeling.
Top Skills: PythonRSQL
Reposted 14 Days AgoSaved
Remote
USA
150K-200K Annually
Mid level
150K-200K Annually
Mid level
Insurance • Legal Tech • Social Impact
As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.
Top Skills: PythonRSQL
Reposted 15 Days AgoSaved
Easy Apply
Remote
United States
Easy Apply
141K-150K Annually
Internship
141K-150K Annually
Internship
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
As a Data Science Intern, you will analyze data, communicate insights to stakeholders, and collaborate with ML scientists to enhance products and models.
Top Skills: PythonSQL
Reposted 12 Days AgoSaved
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
180K-270K Annually
Senior level
180K-270K Annually
Senior level
Social Impact
Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.
Top Skills: AIEconometricsLlm (Large Language Model)Machine LearningPythonSQL
Reposted 17 Days AgoSaved
Easy Apply
In-Office or Remote
San Francisco, CA, USA
Easy Apply
125K-165K Annually
Mid level
125K-165K Annually
Mid level
AdTech • Marketing Tech • Social Impact • Software • Analytics
Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.
Top Skills: MongoDBPython
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