Data Scientist, Growth

Anthropic•Seattle, WA

2d•$285,000 - $380,000•Hybrid

About The Position

Anthropic’s Growth team helps more people and companies use and pay for Claude. This Data Scientist role focuses on personalization, building and evaluating models and experiments that select the right message, offer, or product experience for each user across lifecycle marketing, onboarding, and in-product experiences. Claude is used as a collaborator in analysis, reporting, and experimentation, and the role will help identify new ways to use it in this work. Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The company is a growing team of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Requirements

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 large-scale A/B testing, 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.
Bachelor’s degree or an equivalent combination of education, training, and/or experience.
Relevant field of study, demonstrated through coursework, training, or professional experience.

Nice To Haves

7 or more 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, or 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 an analytical workflow.

Responsibilities

Build and ship targeting and personalization models that decide which users receive each message, offer, or experience, in collaboration with growth product managers and engineers.
Design tests to evaluate and improve personalization strategies, including holdouts, bandits, and off-policy estimates when A/B tests are impractical.
Design and analyze A/B tests and quasi-experiments across activation, retention, and monetization, and turn results into actionable recommendations.
Develop metrics and guardrails that connect short-term gains to long-term value.
Find new ways to use Claude in analysis, reporting, and experimentation.