Data Scientist (Marketing)

• 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
• Own incrementality measurement for paid media: build and operate our in-house marketing mix model, and design the geo experiments, synthetic-control studies, and holdouts that validate and calibrate it
• Translate measurement results into budget and channel recommendations that shape how marketing invests
• Establish primary success metrics and guardrails for lifecycle marketing, anchored on activation and active usage rather than reach
• Develop hypotheses on marketing interventions, design experiments or causal inference studies, analyze results, and make recommendations based on impact to key metrics
• Make marketing measurement self-serve by establishing the metrics, tooling, and best practices that let marketing partners answer routine questions without a data scientist in the loop
• Present complex technical analyses and recommendations to both technical and non-technical audiences

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- 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