Principal Data Scientist, Yahoo Mail (Mountain View)
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. Position Overview As a Principal, Data Scientist for Yahoo Mail, you will collaborate with product, design and engineering to enhance user growth strategies through product innovation. Your focus will be on designing and leading strategic research projects, utilizing your expertise in experimentation design, analytics, and AI-powered analytical approaches. Who you are 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. Your Skills Expertise in data querying languages (e.g., SQL) and scripting languages (e.g., Python). Experience with big data technologies, including BigQuery, Hive, Hadoop, and Spark. Proficiency in visualization tools such as Tableau and/or Looker and third-party tools (e.g., Comscore, SimilarWeb, 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. Qualifications 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! The compensation for this position ranges from $143,625.00 – $299,375.00 / yr and will vary depending on factors such as your location, skills and experience. The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more. 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 status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form ( www.yahooinc.com/careers/contact-us.html ) or call 1.866.772.3182. Requests and calls received for non‑disability related issues, such as following up on an application, will not receive a response. We believe that a diverse and inclusive workplace strengthens Yahoo and deepens our relationships. When you support everyone to be their best selves, they spark discovery, innovation and creativity. Among other efforts, our 11 employee resource groups (ERGs) enhance a culture of belonging with programs, events and fellowship that help educate, support and create a workplace where all feel welcome. J-18808-Ljbffr
