Top AI & Machine Learning Jobs in San Francisco, CA

Lead data science for SEO and AEO-driven patient growth. Develop measurement and experimentation strategies, combine internal and external data sources, evaluate causal impact, answer product and business questions, and automate analysis using AI agents and workflows. Partner with product, marketing, engineering, content, and design to improve organic search and AI visibility. Establish measurement standards and communicate insights, limitations, and recommendations to executives and cross-functional teams.

Leads data science strategy for provider growth, including experimentation, marketing and lifetime-value measurement, forecasting, causal inference, predictive modeling, and product analytics. Manages and develops a data science team, creates roadmaps, partners cross-functionally, identifies provider growth opportunities, and translates complex analyses into executive recommendations. The role requires hands-on work with SQL, Python or R, data modeling, and dbt.

Senior Data Scientist partnering with Product, Engineering, Design, Operations, and Clinical teams to define metrics, design experiments, apply causal inference, analyze funnels and cohorts, and build predictive models. The role translates complex data into actionable product and business recommendations, operationalizes validated insights, and establishes standards for experimentation and analytical quality across patient, payer, outcomes, and provider-focused teams.

Lead and grow a data science team focused on provider experience. Define strategy, build roadmaps, run analyses, experiments, and predictive models, surface insights, and partner cross-functionally to drive measurable improvements in provider engagement and product experience.