Data Scientist (Growth)

Join Anthropic, a leading AI safety and research company, as a Data Scientist focused on marketing. In this foundational role, you will develop and implement the measurement strategy for Anthropic's marketing investments, starting with paid media and extending to lifecycle and other marketing programs. You will build and operate the in-house marketing mix model, design experiments, and translate measurement results into budget and channel recommendations. This position offers a comprehensive benefits package, including health insurance, paid parental leave, and a competitive salary and equity package.

- 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 that shape how marketing invests, and establish primary success metrics for lifecycle marketing.

- Proficiency with causal inference and machine learning methods, and judgment about when each is appropriate - Proficiency with Python and SQL - 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 - Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience - Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience - 7+ years of experience in data science, with significant time embedded in Marketing or Growth teams - Experience building measurement frameworks from the ground up, moving teams from descriptive reporting toward causal understanding - A track record of translating complex analyses into recommendations that senior marketing stakeholders act on - Experience bringing marketing mix modeling in-house, or operating one end-to-end rather than through a vendor - Background at consumption-based, multi-product companies serving both consumers and enterprises - Experience defining activation metrics and lifecycle measurement for a product-led business - Comfort setting direction and making decisions when requirements are still taking shape - An interest in Anthropic's mission of building safe and beneficial AI