Marketing Mix Modeling: Design, build, and maintain MMM models that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis.
Geo-Based Measurement: Develop and analyze geo-experiments (synthetic control, difference-in-differences) to measure marketing incrementality and validate MMM outputs.
Measurement Infrastructure: Build and maintain data pipelines and automated measurement systems ensuring reproducibility and scale.
AI-Accelerated Prototyping: Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations — compressing weeks of iteration into days.
Productionalization: Refine research prototypes into production-grade systems with proper unit testing, data validation, and code review standards.
Insight Communication: Translate complex measurement findings into clear narratives and confident budget recommendations for Marketing and Finance stakeholders.

5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.
Deep, hands-on experience building and validating Marketing Mix Models in a production setting.
Strong working knowledge of causal inference methods, including geo-experimentation and observational approaches.
Proficiency in Python and R for statistical modeling, and SQL for data manipulation.
Ability to communicate complex concepts clearly to stakeholders at varying technical levels.
Proven track record of solving business problems through data science methods.

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Senior Data Scientist, Platform Inference – MarTech DS Measurement

Key skills