Data Scientist, Marketing

Details

As part of Anthropic’s Data Science and Analytics team, this role owns the measurement strategy behind Anthropic’s marketing investment. The position will build marketing measurement from the ground up, initially focusing on paid media and bringing marketing mix modeling in-house. The role will develop and operate an econometrics toolkit covering marketing mix modeling, geo experiments, synthetic controls, and incrementality testing, then extend causal measurement to lifecycle and other marketing programs.

Responsibilities

• Own incrementality measurement for paid media, including the in-house marketing mix model.
• Design geo experiments, synthetic-control studies, and holdout tests to validate and calibrate measurement models.
• Translate measurement results into budget and channel recommendations that influence marketing investment.
• Establish primary success metrics and guardrails for lifecycle marketing, focusing on activation and active usage rather than reach.
• Develop hypotheses about marketing interventions, design experiments or causal inference studies, analyze results, and recommend actions based on their impact on key metrics.
• Make marketing measurement self-serve by establishing metrics, tooling, and best practices that allow marketing partners to answer routine questions without direct data scientist involvement.
• Present complex technical analyses and recommendations to technical and non-technical audiences.

Requirements

• Hands-on experience with marketing incrementality methods, including marketing mix modeling, geo experiments, synthetic controls, and large-scale A/B or holdout testing.
• Proficiency in causal inference and machine learning methods, with sound judgment about when to apply each approach.
• Proficiency with Python and SQL.
• Experience applying data science in a Marketing or Growth context.
• Ability to communicate complex analyses as clear recommendations for non-technical audiences.
• Bachelor’s degree or an equivalent combination of education, training, and experience.
• Relevant field of study demonstrated through coursework, training, or professional experience.

Preferred Qualifications

• Seven or more years of data science experience, including significant experience embedded in Marketing or Growth teams.
• Experience building measurement frameworks from the ground up and moving teams from descriptive reporting toward causal understanding.
• Track record of translating complex analyses into recommendations acted upon by senior marketing stakeholders.
• Experience bringing marketing mix modeling in-house or operating it 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.
• Interest in Anthropic’s mission of building safe and beneficial AI.

Compensation

• Annual salary: $285,000–$380,000 USD.

Work Policy and Visa Information

• Hybrid policy: Staff are expected to work from one of Anthropic’s offices at least 25% of the time, although some roles may require more office time.
• Anthropic sponsors visas and makes reasonable efforts to obtain visas for successful candidates, with support from an immigration lawyer.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration.