Responsibilities

• 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.

Requirements

• 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.

Preferred

• Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field.
• Familiarity with Bayesian modeling and its applications in marketing.
• Working knowledge of AI coding agents for accelerating prototyping, spec-driven development, and multi-agent workflows.
• Experience in developing end-to-end models for data-driven decision-making.

Benefits

• Employee Travel Credits
• Bonus eligibility
• Equity eligibility
• Benefits (health, dental, etc.)