Data Scientist, Growth

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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.

• 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

• 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

• 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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$285,000—$380,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional