Senior Principal Data Scientist - Ads Measurement

As a Senior Principal Data Scientist on the Consumer Monetization Platform Engineering team, you will be the technical leader defining how machine learning and AI are applied to close the loop between ad serving and advertiser business outcomes.

You will design and build the ML models, reinforcement learning systems, feature generation pipelines, experimentation frameworks, and feedback architectures that transform our platform from impression-based optimization to outcome-driven intelligence.

Our Big Data footprints are among the largest few in the world, at double-digit petabyte scale.

You will work with hundreds of billions of ad events monthly, building models that learn from delayed conversion signals, sparse reward data, and complex multi-touch attribution paths.

The challenges span real-time prediction at sub-100ms latency, offline reinforcement learning from logged bandit feedback, causal inference for experimentation, and multi-objective optimization balancing publisher yield with advertiser outcomes.

If you are someone who thrives at the intersection of rigorous ML research and production-scale engineering, who gets excited about building learning systems that improve autonomously from real-world feedback, and who wants to shape the science strategy for a platform generating billions in advertising revenue, we want to hear from you!

and safeguarding business operations and brand integrity.

criminal histories in a manner consistent with applicable law.

Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment.

Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

Collaborate with product managers, engineering leads, sales, and advertiser-facing teams to define outcome metrics, success criteria, and measurement methodology

Publish findings, contribute to the broader ML community, and represent the team’s technical vision to leadership and external partners

Drive alignment across cross-functional stakeholders on the science roadmap, experiment priorities, and model deployment strategy

Required

Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research, or a related quantitative field with 8+ years of industry experience; or M.S. with 12+ years of relevant industry experience.

Demonstrated track record of shipping production ML systems that drive measurable business impact at scale.

We are an industry-leading direct-to-consumer and ad tech solution for advertisers and publishers. Our innovative ad tech gives one-stop access to Yahoo, Inc.’s trusted data, high-quality inventory and demand, creative ad experiences, and industry-leading machine learning at global scale.

The Consumer Monetization team’s charter is to Find, Evaluate, Build, and Scale new monetization, and internal campaign tools and products, ad formats and functionalities across all Yahoo brands including Yahoo Homepage, Yahoo Sports, Yahoo Finance, Yahoo News. This team is uniquely positioned to identify growth and revenue generation opportunities, design and implement solutions across consumer products and advertising platforms including video, display and native.