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

Yahoo is a leading consumer inbox provider with hundreds of millions of users, seeking a Senior Manager for Data Science & Analytics in their Yahoo Mail group. The role involves leading analytics strategies to enhance user experience and product engagement, while managing a team of data scientists.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 8+ years in product analytics, data science, or user insights, with 3+ years leading small, high-performing teams
• 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.g., Looker, Tableau)
• Proven experience influencing product direction through analytics; deep understanding of consumer engagement metrics and lifecycle
• Ability to inspire, coach, and scale a lean analytics team while maintaining technical excellence
• Exceptional ability to turn complex data into clear, impactful stories that shape executive and product decisions
• Curious, hands-on, and collaborative. Thrives in ambiguity and drives clarity through data
• Bachelor's or Master's degree in a quantitative field (Statistics, Data Science, Computer Science, Economics, Engineering)