Data Scientist, Growth

Anthropic · New York City, NY | Seattle, WA; San Francisco, CA

  • Senior
  • Full-time
  • $285,000 – $380,000
  • Posted 2026-03-23
  • Confirmed live on 10 November 2026

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Job description

About Anthropic

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.

About the role

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, marketing measurement, strategic analysis and metrics.

This is a generalist role across marketing and product. You'll drive experimentation, opportunity sizing, marketing measurement and strategic analysis, and help decide what Growth works on next.

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

- 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
- 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)
- 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

You may be a good fit if you have

- 7+ years of experience in data science, with significant time on growth, marketing or lifecycle problems
- Deep expertise in experimental design and causal inference, including A/B testing at scale, holdouts and quasi-experimental methods when randomization isn't available
- Experience measuring marketing: incrementality testing, holdouts or geo experiments, and LTV/CAC for paid or lifecycle programs
- Experience analyzing growth funnels: acquisition, activation, retention and monetization
- Proficiency with Python and SQL
- Clear written communication, and a track record of recommendations that changed priorities or what a team built
- A bias for action and comfort in ambiguous, fast-moving environments
- An interest in Anthropic's mission of building safe and beneficial AI

Strong candidates may also have

- Experience defining activation metrics and lifecycle measurement for a product-led business
- Experience with experimentation platforms and meta-analysis across experiment portfolios
- Background at consumption-based, multi-product companies serving both consumers and enterprises
- Experience using LLMs or coding agents in your own analytical workflow
- Experience with marketing mix modeling, geo experiments or synthetic controls
- Experience measuring lifecycle marketing (email, push, in-product messaging), including global holdouts and interference between campaigns
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.

Annual Salary:
$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 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.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who ide

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