The Yahoo homepage is one of the most visited destinations on the internet. Our Yahoo News Group Analytics Team is the engine that powers its evolution, using rigorous experimentation and advanced analytics to improve the daily habits of millions of users. We are a high-autonomy team that values statistical integrity, clear communication, and an AI-forward approach to solving complex product problems.
We are hiring a Senior-level Data Scientist to lead analytics for Yahoo.com News Group distribution and syndication partnerships. In this role, you will define how we measure the success of distribution deals — across carriers, OEMs, and browsers — and build the analytical foundation that informs both how we manage existing partnerships and where we pursue new ones.
You will partner closely with Business Development, Product, and Engineering to evaluate partnership performance and surface market opportunities. On the BD side, your role is highly strategic and analytical — conducting market landscape analysis to identify distribution whitespace, size opportunities, and deliver prioritized, data-backed targets that the BD team can act on. This is greenfield work within our domain: you will be expected to bring order to highly ambiguous environments, formulate new measurement frameworks from scratch, and ensure key decisions are grounded in rigorous analysis.
This is a hands-on senior individual contributor role with significant ownership. You will operate as the analytical lead for your area, bringing structure to highly ambiguous problems and ensuring decisions are grounded in rigorous analysis. The person best suited for this role will be comfortable operating without a playbook. You’ve worked in environments where the right metrics weren’t obvious and had to be earned through stakeholder alignment and analytical judgment — not just inherited. You understand that partnerships are not one-size-fits-all, and you have the instincts to figure out what “good” looks like for each one. You’re equally at home doing deep quantitative analysis and sitting in a BD conversation translating ambiguous business goals into measurable outcomes.
Note: This role is focused on product and partnership analytics. It is not an ML engineering role — you will not be responsible for building or productionizing machine learning systems.