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Data Scientist (Marketing)

Anthropic · San Francisco, United States

External listingfull-timeabout 1 month ago

About The Role

Join Anthropic, a leading AI safety and research company, as a Data Scientist in Marketing. In this foundational role, you will build and operate the marketing measurement strategy, focusing initially on paid media and expanding to lifecycle and other marketing programs. You will translate measurement results into budget and channel recommendations, establish success metrics for lifecycle marketing, and make marketing measurement self-serve. This position offers comprehensive benefits, a competitive salary, and the opportunity to work on impactful AI research.

  • Own the measurement strategy behind Anthropic's marketing investment, focusing on paid media and building marketing mix modeling in-house.
  • Build and operate the econometrics toolkit, including marketing mix modeling, geo experiments, synthetic controls, and incrementality testing.
  • Translate measurement results into budget and channel recommendations, establishing primary success metrics and guardrails for lifecycle marketing.
  • Hands-on experience with marketing incrementality methods, including marketing mix modeling, geo experiments, synthetic controls, and A/B or holdout testing at scale
  • Ability to communicate complex analyses as clear recommendations for non-technical audiences
  • Experience applying data science within a Marketing or Growth context
  • Proficiency with causal inference and machine learning methods, and judgment about when each is appropriate
  • Proficiency with Python and SQL
  • 7+ years of experience in data science, with significant time embedded in Marketing or Growth teams
  • A track record of translating complex analyses into recommendations that senior marketing stakeholders act on
  • Experience building measurement frameworks from the ground up, moving teams from descriptive reporting toward causal understanding
  • Experience bringing marketing mix modeling in-house, or operating one end-to-end rather than through a vendor
  • Experience defining activation metrics and lifecycle measurement for a product-led business
  • Background at consumption-based, multi-product companies serving both consumers and enterprises
  • Comfort setting direction and making decisions when requirements are still taking shape
  • An interest in Anthropic's mission of building safe and beneficial AI
  • 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

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