Lead Data Scientist in San Francisco

You'll work with massive, real-world datasets to design, optimize, and evaluate AI-driven products used by healthcare professionals nationwide. This role sits close to product and leadership, with the opportunity to influence both technical direction and product strategy.

What You'll Do

• Build, train, and optimize machine learning and AI models powering core product features
• Work with large-scale datasets to generate insights and improve model performance
• Partner with product, engineering, and analytics teams to define and execute data-driven initiatives
• Design and implement experimentation frameworks to evaluate model and product performance
• Translate complex technical outputs into clear, actionable insights for stakeholders
• Contribute to the broader data and AI strategy, helping shape future product direction

• Strong foundation in statistics, including experimentation, probability, and exploratory analysis
• 5+ years of experience in data science, machine learning, or related roles working with large, complex datasets
• Hands-on experience building and deploying machine learning models in production
• Experience with modern ML techniques, including deep learning and LLMs (e.g., fine-tuning, evaluation)
• Proficiency in Python and SQL, with strong coding and data manipulation skills
• Experience with scalable data processing (e.g., distributed systems, large-scale pipelines)
• Ability to communicate technical insights clearly to non-technical stakeholders
• Strong product mindset with a focus on driving measurable impact

• Work on AI products with real-world healthcare impact
• Access to large-scale, proprietary datasets
• Highly collaborative, product-driven environment
• Opportunity to shape AI strategy at scale
• Competitive compensation: $170K-$248K total comp (base + equity)

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