Tech Stack

Description

You'll work at the intersection of data science and engineering, building production-ready Python utilities for causal measurement and MMM frameworks. You'll partner with marketing scientists and engineers to turn statistical specifications into scalable, maintainable code.

Requirements

• Advanced proficiency in spoken and written English
• Experience with Python development and productionizing data science code
• Knowledge of marketing mix modeling (MMM) or causal measurement
• Ability to collaborate with product and modeling teams to translate specifications into code
• Experience with Snowflake or similar data stores

Responsibilities

• Implement MMM modules (SCV, halo/cannibalization, parameter QC, scenario planning) in Python
• Convert notebook-based workflows into reusable, tested Python modules
• Build statistical utilities for saturation curves, efficiency quadrants, posterior diagnostics
• Develop and maintain metadata schemas, versioning utilities, and data audit standardization modules
• Write unit tests, regression tests, and reproducibility checks for MMM packages