Data Scientist, Ads Demand

Highlights

• Define North Star metrics and measurement for ads demand health.
• Diagnose demand shifts to guide Sales and Product strategy decisions.
• Build benchmarks and early-warning signals to improve advertiser ROAS.

What they offer

• equity

Ideal candidate

Data scientist with 7+ years in ads or marketplaces who thrives in ambiguous 0-to-1 problems. Business-minded partner who influences Sales and Product and cares about advertiser growth and measurable impact.

Requirements

• 7+ years of experience in data science or analytics within an ads platform, marketplace, or performance-oriented B2B business.
• Demonstrated business impact through advertiser demand growth, improved delivery or ROAS, stronger retention, or decisions that changed product and sales strategy.
• Strong SQL and Python or R, with depth in measurement, experimentation, causal inference, segmentation, benchmarking, and forecasting.
• Exceptional cross-functional communication and influence with both sales and product leaders, plus a hands-on approach to ambiguous, 0-to-1 problems.
• Experience at a high-performing ads business where data scientists work broadly across Sales, Marketing Science, and Product rather than in a narrow silo.
• Hands-on familiarity with ad delivery, auctions, measurement, attribution, conversion signals, and the advertiser lifecycle.
• Experience turning customer feedback into product priorities and evidence-backed best practices that improve advertiser outcomes.