Staff Data Scientist - Ads Marketplace

Role overview Shape data science for an advertising marketplace, improving revenue performance while preserving value for both users and advertisers. The staff-level role focuses on auction delivery, ranking models, measurement, and product experimentation, with close partnership across product, engineering, machine learning, sales, and finance.

Responsibilities - Develop models and algorithms to improve ad marketplace performance and balance user and advertiser outcomes. - Design experiments, monitor early product changes, and assess results after release. - Analyze marketplace and product data to identify strategic opportunities and recommend actions. - Collaborate with product, design, engineering, marketing, and operations partners on product decisions. - Contribute to model feedback and explainability approaches, auction measurement, and the data science roadmap.

Requirements - At least seven years of data science experience, including work in advertising marketplaces or monetization. - Strong SQL skills for developing, debugging, and running complex queries. - Proficiency in Python and common scientific and data science libraries such as NumPy, pandas, and scikit-learn. - Experience with experimentation, causal inference, and exploratory analysis, including communicating findings. - Curiosity about product and business questions and interest in applying AI tools to improve work.

Nice to have - Experience with community-oriented products, small-business marketplaces, advertising auctions, or agentic coding tools.

Benefits and work setup The source describes a hybrid model with location-dependent office expectations. Benefits include health plan choices and a medical care membership; compensation and equity vary by location and qualifications.