Data Scientist, Marketing at Anthropic

Hybrid - San Francisco, CA, United States

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You will own the measurement strategy behind Anthropic’s marketing investment, building marketing measurement from the ground up. The role focuses on paid media, marketing mix modeling, geo experiments, synthetic controls, and incrementality testing, while extending causal rigor to lifecycle and other marketing programs.

Salary

R$ 285,000 - 380,000

Requirements

Skills

  • 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
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience

Responsibilities

  • 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

Technologies

PythonSQL

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