Tech Stack

Description

You will work at the intersection of data science and engineering, transforming causal measurement frameworks into production-ready Python utilities. You'll partner with product, data science, and engineering teams to build scalable, maintainable code that powers marketing measurement products.

Requirements

• Advanced proficiency in spoken and written English
• Strong Python development skills, experience with production code
• Experience with causal inference and marketing measurement (MMM)
• Ability to translate statistical specifications into scalable code
• Familiarity with Snowflake or similar data stores

Responsibilities

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