Data Scientist, Ads Demand

📋 Description

• Define North Star metrics and measurement framework for demand health.
• Build operating view of demand across spend, retention, delivery, and mix; identify risks.
• Own advertiser outcomes: delivery, ROAS, conversions, retention, and budget efficiency.
• Establish benchmarks by objective, vertical, advertiser size, geography and product.
• Develop early-warning signals and scoring for under-delivery and growth.
• Partner with Ads Sales and Product to segment demand, forecast outcomes, and inform strategies.

🎯 Requirements

• 7+ years of experience in data science or analytics within ads.
• Demonstrated impact on advertiser demand, delivery/ROAS, or retention.
• Strong SQL and Python or R; depth in measurement, experimentation, causal inference, segmentation, forecasting.
• Exceptional cross-functional communication with Sales and Product.
• Experience across Sales, Marketing Science, and Product in ads.
• Hands-on familiarity with ad delivery, auctions, measurement, attribution, and lifecycle.