
Marketing Data Scientist
Role requires framing marketing problems as modeling and measurement challenges; building attribution, propensity/lead scoring, churn models; modeling engagement-to-commercial outcomes; designing and analyzing experiments; partnering with analytics engineers to move models into production. Requires 4+ years in marketing/product data science, strong Python and SQL, statistical foundations, and experience with GA4/Google Ads and marketing measurement.









