Data Engineer, Marketing

Highlights

• Own measurement for performance marketing across 10+ acquisition channels.
• Stand up media-mix model to guide budget allocation and scaling decisions.
• Build predictive LTV signals for Meta, Google and other ad networks.

Ideal candidate

Self-directed analytics veteran passionate about marketing measurement who thrives owning ambiguous problems end-to-end and honestly guiding growth bets.

Requirements

• 7+ years in marketing analytics, marketing science, or data science supporting paid acquisition
• Strong SQL and Python skills building data pipelines and predictive models
• Experience running hold-out/incrementality tests and production MMM and attribution models
• Understanding of ad platform reporting, optimization, and conversion signal ingestion
• Clear communication with channel managers, Finance, and leadership about data limitations
• Self-directed ownership of ambiguous problems end to end