Data Scientist, Growth

The shape of it

In the posting’s own words

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:

What it asks for · 9

• 7+ years of experience in data science, with significant time on growth, marketing, lifecycle or personalization 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 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
• Experience measuring marketing: incrementality testing, holdouts or geo experiments, and LTV/CAC for paid or lifecycle programs
• Hands-on experience building and shipping machine learning models that drive user-facing decisions (targeting, ranking, recommendation or personalization)

Also a plus

• 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 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 problems, such as global holdouts and interference between campaigns

What the job covers

• 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
• 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)
• 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

Tools and skills named

Words the posting leans on

• experience13×
• growth10×
• personalization9×
• lifecycle7×
• marketing7×
• experiments6×
• focus6×
• holdouts5×
• models4×
• product4×
• recommendations4×
• building3×
• decision3×
• design3×
• experimentation3×
• geo experiments3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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