Data Scientist, Marketing
Seattle, WAAll locationsSeattle, WAbased hybrid policy:New York City, NYSan Francisco, CA Hybrid
$285,000–$380,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As part of our growing Data Science and Analytics team, you will own the measurement strategy behind Anthropic's marketing investment. This is a foundational role, building marketing measurement at Anthropic from the ground up. Your first focus is paid media. We are bringing marketing mix modeling in-house, and you will build and operate the econometrics toolkit — marketing mix modeling (MMM), geo experiments, synthetic controls, and incrementality testing — that tells us which marketing investments actually drive growth, working in close partnership with our paid marketing data scientist. From there, you'll extend the same causal rigor to lifecycle and other marketing programs: defining success metrics oriented on activation and sustained usage, and building self-serve measurement that scales beyond any one embedded analyst.
What you'll bring
- Hands-on experience with marketing incrementality methods, including marketing mix modeling, geo experiments, synthetic controls, and A/B or holdout testing at scale
- Proficiency with causal inference and machine learning methods, and judgment about when each is appropriate
- Proficiency with Python and SQL
- Experience applying data science within a Marketing or Growth context
- Ability to communicate complex analyses as clear recommendations for non-technical audiences
- A field relevant to the role as demonstrated through coursework, training, or professional experience
- Years of experience required will correlate with the internal job level requirements for the position
- 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
- Experience defining activation metrics and lifecycle measurement for a product-led business