Data Scientist, Growth

About the role

The Growth team helps more people and companies use and pay for Claude. In this role, you’ll focus on personalization, building and evaluating the models and experiments that choose the right message, offer, or product experience for each user. Your work will span lifecycle marketing, onboarding, and in-product experiences.

Claude is a collaborator in much of our analysis, reporting, and experimentation, and you’ll help us find new ways to use it in this work.

Key responsibilities

• Build and ship targeting and personalization models that decide which users get which message, offer, or experience, working closely with growth product managers and engineers
• Design tests to evaluate and improve our personalization strategy, including holdouts, bandits, and off-policy estimates where A/B tests aren’t practical
• Design and analyze A/B tests and quasi-experiments across activation, retention, and monetization, and turn the results into actionable recommendations
• Develop a system of metrics and guardrails that connects short-term wins to long-term value

Minimum qualifications

• Experience applying data science to growth, lifecycle, or personalization problems
• Experience building and shipping machine learning models that drive user-facing decisions, such as targeting, ranking, recommendation, or personalization
• Experience with experimental design and causal inference, including A/B testing at scale, holdouts, and quasi-experimental methods
• Proficiency in Python and SQL
• Experience communicating analysis in writing and making recommendations that influenced priorities across teams
• Ability to prioritize and make progress when requirements are unclear or changing
• Interest in Anthropic’s mission of building safe and beneficial AI

Preferred qualifications

• 7+ years of experience in data science
• Experience running contextual bandits, uplift models, or similar decision systems in production
• Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement challenges, such as global holdouts and interference between campaigns
• Experience defining activation metrics and lifecycle measurement for a product-led business
• Experience with experimentation platforms and meta-analysis across experiment portfolios
• Experience working on consumption-based, multi-product businesses serving both consumers and enterprises
• Experience using LLMs or coding agents in your analytical workflow

Annual Salary

$285,000 — $380,000 USD