Senior Data Scientist, Yahoo Mail

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.

As a Senior Data Scientist for Mail Plus / Mail Subscriptions
, you will partner closely with product, engineering, design, and business stakeholders to shape the future of Yahoo Mail's subscription business. You will lead strategic analysis across the subscription funnel—including acquisition, conversion, pricing, upgrade flows, feature adoption, retention, and churn—while helping the team make faster, better decisions through rigorous experimentation and clear, actionable insights.

This role is ideal for someone who is excited by a blend of consumer product analytics
, subscription economics
, and growth strategy
, and who can move fluidly between deep analytical work and high‑impact cross‑functional collaboration.

• A seasoned data science professional with a track record of solving complex business problems in digital media, product, or commerce environments.
• Experienced in agile, iterative, and fast‑paced experimentation environments, managing multiple projects within a matrixed team.
• An effective communicator who presents insights to both technical and non‑technical stakeholders with clarity and rationale.

• Expertise in data querying languages (e.g., SQL) and scripting languages (e.g., Python).
• Experience with big data technologies, including Big Query, Hive, Hadoop, and Spark.
• Proficiency in visualization tools such as Tableau and/or Looker and third‑party tools (e.g., Comscore, Similar Web, Data AI).
• Hands‑on experience with Experimentation Frameworks for A/B Testing and Multivariate Testing.
• Strong machine learning skills, covering cluster analysis, neural networks, and predictive modeling.
• Utilization of statistical techniques, including correlation analysis, design of experimentation, regression methods, and time series analysis.

• Minimum of 6+ years of work experience (minimum of 4 years with a Ph.D.) in data science, product analytics, or a similar role in consumer mail, digital media, digital commerce, or product development.
• Master's Degree in math, engineering, statistics, data science, or a related field.
• Subject matter expertise in consumer internet products.
• Experience in commerce or shopping.
• Familiarity with project management tools like those from Atlassian (JIRA, Confluence).
• Experience working with AI‑driven products, data platforms, or analytics workflows is a plus.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

At Yahoo, we offer flexible hybrid work options that our employees love! While most roles don't require regular office attendance, you may occasionally be asked to attend in‑person events or team sessions. You'll always get notice to make arrangements. Your recruiter will let you know if a specific job requires regular attendance at a Yahoo office or facility. If you have any questions about how this applies to the role, just ask the recruiter!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran…