Data Scientist, Growth

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, 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 experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

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., We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates’ AI Usage: Learn about our policy for using AI in our application process.

About Anthropic

201-500 San Francisco