Data Scientist, Growth

The Growth team's job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. Growth Data Scientists partner closely with growth product managers, engineers and marketers on experimentation, opportunity sizing, strategic analysis, metrics and personalization.

We're hiring for two focus areas within this posting. Tell us in your application which one fits you best, or if you're excited about both:

• Growth generalist: a strong generalist across marketing and product who drives experimentation, opportunity sizing, marketing measurement and strategic analysis.
• Personalization: building and evaluating the models and experiments that pick the right message, offer or product experience for each user, across lifecycle marketing, onboarding and in-product experiences.

We work in an AI-native way. Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further.

Responsibilities

Across both focus areas, you will:

• Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship
• Define systems of metrics and guardrails that tie short-term wins to long-term value
• Present analyses and recommendations to technical and non-technical audiences, leading with the decision and keeping the numbers in support

In the Growth generalist focus, you will also:

• Size opportunities and make the case for what Growth should work on next
• Measure the incrementality of paid and lifecycle marketing with holdouts, geo experiments and other causal methods, and turn the results into budget and channel recommendations
• Tie acquisition and lifecycle programs to long-term value (LTV, CAC and payback)

In the Personalization focus, you will also:

• 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 the tests that evaluate and iterate on our personalization strategy, including holdouts, bandits and off-policy estimates where A/B tests aren't practical