Senior Data Scientist – Mail Intelligence

Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It’s the best way to access your email and stay organized from a computer, phone, or tablet. With its beautiful design and lightning‑fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.

As part of Yahoo Mail Data Science & Analytics, our team is the driving force behind experimental analysis, data science, and business intelligence for Yahoo Mail. We thrive on data and insights to craft outstanding product experiences. Our commitment is towards providing data‑driven guidance that fuels user growth and product innovation, maintaining high‑quality data standards, and devising insightful A/B tests and advanced analyses.

Mail Intelligence is the intelligent layer of Yahoo Mail, responsible for overseeing end‑to‑end AI and machine learning components within the platform. The squad delivers cutting‑edge AI capabilities that enhance user experience, scale personalization features, power AI‑driven functionalities (including generative AI and LLMs), and provide smart signals and insights driven by Mail data across the Yahoo ecosystem.

• Mail Content Classification & Targeting (Kamino taxonomy, spam/abuse detection)
• Mail Extraction (product, coupon, travel, and event extraction)
• Text Summarization & TLDR
• User Action Predictions & Personalization (Priority Inbox, user profiles, segmentation)
• AI‑Powered Experiences (Smart Reply, Nudges, ranking & arbitration)

• Be at the forefront of AI innovation in one of the world’s largest consumer email platforms.
• Work alongside a world‑class team of ML engineers, research scientists, and product leaders building the intelligent layer of Yahoo Mail.
• Shape the analytics strategy for capabilities that directly impact 200M+ monthly users.
• Grow your career in a high‑visibility role with direct influence on Yahoo Mail’s AI‑driven product roadmap.

As a Senior Data Scientist for Yahoo Mail Intelligence, you will be the dedicated analytics partner for the Mail Intelligence squad, collaborating with product, engineering, and research science teams to measure, evaluate, and optimize Yahoo Mail’s AI and ML‑powered capabilities.

Your focus will be on designing rigorous experimentation frameworks for backend ML features, evaluating AI model performance, and translating complex data into actionable insights that drive product innovation at scale.

• Partner with Mail Intelligence product, engineering, and research science teams to frame AI/ML challenges into data‑analyzable questions, devise analysis strategies, and translate findings into actionable insights.
• Design and lead A/B testing and experimentation for backend ML features – including classification models, extraction pipelines, TLDR summarization, personalization, and ranking/arbitration logic.
• Evaluate ML model performance through offline and online metrics, coverage analysis, and quality assessments to inform model iteration and deployment decisions.
• Conduct ad‑hoc data mining and statistical analysis to understand user behaviors, feature adoption, engagement patterns, and the impact of AI‑powered experiences.
• Develop and maintain measurement frameworks and dashboards (Tableau, Looker) to track Mail Intelligence KPIs, squad OKRs, and feature health.
• Advocate for and enforce high standards in data logging and instrumentation to ensure data integrity and accuracy across backend systems.
• Collaborate cross‑functionally with frontend squads (Inbox & Organize, Commerce, Read Write Search) to ensure alignment of experimentation logic and data flows for features powered by Mail Intelligence signals.
• Drive the development of reporting strategies to accurately reflect business results and guide future AI/ML investment decisions.

• A seasoned data science professional with a track record of solving complex business problems in AI/ML‑driven product environments, digital media, or consumer technology.
• Experienced in evaluating and measuring machine learning model performance in production systems, with an understanding of classification, extraction, NLP, and…