Top Hybrid Data Science Jobs in San Francisco, CA
Lead role in the Member Data Scientist team, responsible for driving Growth, Engagement, and Retention strategies. Utilize data analysis, statistical modeling, and machine learning to uncover insights influencing product strategy and revenue growth. Collaborate cross-functionally and mentor junior Data Scientists. Stay up-to-date on the latest data science techniques and technologies.
Develop loss forecasting models for various lending products, draw insights from data, improve forecasting accuracy, explore external credit data, collaborate with different teams, and contribute to strategic goals of the company.
Senior Analyst in Marketing Science & Analytics at Square, responsible for enabling stakeholders to make better decisions through data and analytics. Key responsibilities include owning analytics workstreams, collaborating with cross-functional partners, analyzing marketing experiments, and maintaining Looker dashboards.
Lead and oversee ML projects from planning to delivery, drive the long-term vision of the team, collaborate cross-functionally with various teams, and manage software engineering projects. Requires 8+ years in Software Engineering and at least 4 years in Software Engineering Management.
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Lead Data Scientist responsible for data science projects around consumer pricing, incentives & offers, and insurance. Providing mentorship, building forecasting systems, and supporting the technical roadmap to advance pricing projects.
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Lead the global Data team in collaborating with internal stakeholders to set a data-driven strategy for Travel and FinTech products, manage a team of data analysts and scientists, improve question-asking and answer-solving capabilities, build reporting products, define scalable data models, and stay curious.
Seeking an Experienced Data Scientist to join Benchling's Data Analytics and Science team. Responsibilities include building data models, prototyping analytical tools, and providing data-backed recommendations to support business functions and go-to-market efforts.
Join Roblox as a Senior Data Scientist in Payments to shape the future of human interaction, solve technical challenges at scale, and create safer shared experiences. Collaborate with engineers and product managers to advance business objectives by designing payment offerings and systems. Utilize economic theory and scientific rigor to make data-informed decisions and contribute to product development through insights and experimentation.
Conduct end-to-end research, develop models and algorithms, deploy ML models, build prototype applications, and analyze trading data. Drive complex projects requiring cross-organizational collaboration.
Seeking a highly motivated Data Scientist to join the AI Research Team at Kiddom. Responsible for optimizing the platform, personalizing teaching and learning experiences, and improving student outcomes through data analysis and AI research. Must have 5+ years of experience in product analytics for digital SaaS platforms and proficiency in Python.
Drive the approach to analyze AV performance using data-backed statistical and ML methods for simulation and on-road data. Develop new statistical analysis methods to analyze AV performance data and establish confidence in the insights. Establish correlation between on-road and simulation data. Make sense of large data sets to drive insights and communicate results. Mentor and collaborate with Software Engineers and Data Scientists.
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