Senior Manager, Data Science & Analytics (Core Product Experience) Yahoo Mail

Job Description

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.

About The Organization Yahoo, with a strong foundation of 900 million monthly users, is in the midst of a renaissance—backed by substantial investment to drive meaningful, long-term growth, led by great products. Are you up for the challenge of writing the story of one of the biggest consumer product success stories in history? This won’t be easy, but if you’re motivated by huge opportunities, backed by an organization ready to invest in bold initiatives, and can’t wait to start building, Yahoo is the place for you. Yahoo is composed of organizations, each led by a GM, driving key product lines.

This role sits within the Yahoo Mail group, one of the world’s largest consumer email platforms serving over 200 million monthly users. You’ll be part of the team responsible for redefining how users manage the “business of life,” driving innovation across mail, search, AI-powered assistance, and personalization.

Position Overview Reporting to the Senior Director, Strategy & Analytics, the Senior Manager, Data Science & Analytics (Core Product Experience) will lead the analytics strategy driving Yahoo Mail’s core user experience — spanning product engagement, retention, and long-term user value. You’ll oversee a small team of data scientists focused on Yahoo Mail User Experience (across Desktop & Apps), Platforms, AI & Personalization. This is a high-impact player-coach role, requiring deep technical skills in Python, SQL, and Machine Learning, exceptional analytical rigor, and strong storytelling ability to influence product strategy at scale.

You’ll partner closely with Product, Design, and Engineering to uncover insights, measure product performance, and design experiments that accelerate Yahoo Mail’s evolution into the most user-loved productivity platform on the market. Responsibilities Product Analytics & Insights Leadership Lead the end-to-end analytics framework for Yahoo Mail’s core experience, defining key metrics and success frameworks for engagement, retention, and satisfaction. Partner with product and design leads to uncover behavioral insights, inform feature development, and measure the impact of product initiatives.

Build scalable reporting and experimentation tools that empower product squads with self-serve, reliable data. Deep Analytical and Experimentation Work Be a hands-on leader in Python and SQL, Statistical experimentation, Machine Learning, diving deep into user behavior data to uncover trends, drivers, and friction points.

Design and operationalize a robust experimentation program — including test design, statistical analysis, and interpretation of results to drive product decisions. Develop causal inference and cohort models to understand long-term product impact and user lifecycle dynamics. Cross-Functional Influence Collaborate with Engineering, Product, and UX to guide product roadmaps with data-driven insights.

Translate complex findings into clear, actionable recommendations for senior leadership. Partner with Growth and Monetization analytics peers to ensure a cohesive understanding of the full user and business funnel. Team Leadership & Development Manage and mentor a team of analysts; set technical and analytical standards, and drive operational excellence.

Serve as a player-coach — lead strategically while staying close to the details that matter. Foster a culture of analytical rigor, curiosity, and storytelling across the broader organization. Qualifications Experience: 8+ years in product analytics, data science, or user insights, with 3+ years leading small, high-performing teams.

Technical Expertise: Advanced proficiency in Python and SQL; strong applied statistics background (experimentation design, A/B testing, hypothesis testing, causal inference). Experience with experimentation platforms, event instrumentation, and behavioral data analysis. Familiarity with BI and visualization tools (e.

EWJD3