Tech Stack

Description

You will work at the intersection of data science and engineering to transform MMM causal frameworks into production-ready Python utilities, building scalable and maintainable code for marketing measurement products.

Requirements

• Proficiency in spoken and written English at an advanced level
• Experience implementing MMM or causal measurement models in Python
• Ability to write production-ready, tested Python code
• Familiarity with Snowflake or similar data stores
• Collaboration skills to work with product and marketing science teams

Responsibilities

• Implement MMM modules: Sequential Cross-Validation, halo/cannibalization allocation, parameter QC, scenario planning
• Convert notebook-based workflows into reusable tested Python modules
• Build statistical utilities for diminishing-return curves, efficiency quadrants, posterior diagnostics
• Develop and maintain metadata schemas, versioning utilities, and data audit EDA modules
• Write unit tests, regression tests, and reproducibility checks for MMM packages