Senior Data Scientist, Ads

Role overview This is a senior individual-contributor data scientist role embedded with an advertising organization. The work centers on using data and modeling to improve how ads are measured, targeted, and monetized across a large consumer platform. The position partners closely with engineering, product, and sales-facing teams to translate business questions into rigorous analytical work.

Responsibilities - Design and analyze experiments that measure the impact of ads products, ranking changes, and auction mechanics. - Build and validate models that inform ad relevance, bid optimization, pacing, or audience targeting decisions. - Develop metrics, dashboards, and reporting that give stakeholders a clear view of ads performance and revenue health. - Investigate ambiguous questions about advertiser return on investment, user experience trade-offs, and marketplace dynamics. - Communicate findings to technical and non-technical partners and influence product roadmap decisions.

Requirements - Several years of professional experience as a data scientist or applied scientist, ideally with ads, marketplaces, or ranking systems exposure. - Strong SQL and proficiency in Python or R for analysis, modeling, and reproducible workflows. - Solid foundation in experimentation, causal inference, and statistical inference. - Experience building predictive models and working with large-scale datasets and distributed compute environments. - Ability to translate open-ended business questions into well-scoped analytical problems.