Tech Stack

Description

You will work at the intersection of data science and engineering, transforming MMM causal frameworks into production-ready Python utilities. You'll partner with marketing scientists and engineers to build scalable code, not analyze data.

Requirements

• Proficiency in spoken and written English at an advanced level.
• Experience with Python development and converting notebooks to production code.
• Knowledge of causal measurement and MMM methodologies.
• Familiarity with Snowflake or other data stores.
• Ability to write tests and ensure code reliability.

Responsibilities

• Implement MMM modules like SCV, halo/cannibalization, parameter QC, scenario planning, and attribution.
• Convert notebook workflows into reusable, tested Python modules.
• Build statistical utilities for saturation curves, efficiency quadrants, and 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.