285K–380K USD / year
Data Scientist, Growth
DataHybrid — New York City, NY, Seattle, WA, San Francisco, CA
Published on 2026-10-20
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About this role
Build and evaluate personalization models and experiments that help users and companies discover and pay for Claude. The role spans lifecycle marketing, onboarding, and in-product experiences, with an emphasis on measuring short- and long-term growth outcomes.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Growth team
Stack
PythonSQL
What you'll do
- Build and ship targeting and personalization models for user-facing experiences
- Design tests for personalization, including holdouts, bandits, and off-policy estimates
- Design and analyze A/B tests and quasi-experiments across activation, retention, and monetization
- Develop metrics and guardrails that connect short-term results to long-term value
What we're looking for
- Experience applying data science to growth, lifecycle, or personalization
- Experience shipping machine-learning models that drive user-facing decisions
- Experience with experimental design and causal inference
- Proficiency in Python and SQL
- Strong written communication and ability to influence cross-team priorities
- Ability to make progress amid unclear or changing requirements
- Interest in building safe and beneficial AI
Nice to have
- Seven or more years of data science experience
- Production experience with contextual bandits, uplift models, or similar decision systems
- Lifecycle or CRM personalization experience and familiarity with measurement challenges
- Experience defining activation metrics and lifecycle measurement
- Experience with experimentation platforms and experiment portfolio meta-analysis
- Experience with consumption-based, multi-product businesses serving consumers and enterprises
- Experience using LLMs or coding agents in analytical work
Benefits
- Generous vacation and parental leave
- Flexible working hours
- Optional equity donation matching