Senior Data Scientist - Yahoo Mail
Yahoo · United States
- Hybrid
- Full-time
- $200,000 / year
- United States
Job highlights
- Lead data science for Yahoo Mail subscriptions business.
- Drive growth via experimentation and analysis.
- Partner with product, engineering, and business teams.
- Utilize advanced analytics, ML, and data visualization.
- Ideal for consumer product analytics and growth strategy.
About the role
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.
About Our Team
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 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.
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!
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.
The compensation for this position ranges from $128,250.00 - $266,875.00/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.
Currently work for Yahoo? Please apply on our internal career site.
Key skills/competency
- Data Science
- Python
- SQL
- Machine Learning
- A/B Testing
- Subscription Economics
- Growth Strategy
- Product Analytics
- Big Data
- Data Visualization
Skills & topics
- Senior Data Scientist
- Data Science
- Analytics
- Machine Learning
- Python
- SQL
- A/B Testing
- Product Analytics
- Subscription Economics
- Growth Strategy
- Yahoo Mail
- BigQuery
- Spark
- Tableau
- Looker
How to get hired
- Tailor your resume: Highlight experience in data science, product analytics, and subscription economics. Emphasize your skills in SQL, Python, machine learning, and A/B testing.
- Showcase your impact: Quantify your achievements with specific metrics related to user growth, conversion, retention, and churn.
- Prepare for technical interviews: Brush up on SQL, Python coding, machine learning concepts, statistical methods, and experimental design.
- Demonstrate communication skills: Be ready to clearly explain complex analytical findings to both technical and non-technical stakeholders.
- Research Yahoo Mail: Understand their product, user base, and business objectives to articulate how your skills align with their needs.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Senior Data Scientist at Yahoo Mail?
- As a Senior Data Scientist for Yahoo Mail, you will lead strategic analysis across the subscription funnel, focusing on acquisition, conversion, pricing, upgrade flows, feature adoption, retention, and churn. You'll partner closely with product, engineering, and business stakeholders to drive decisions through rigorous experimentation and actionable insights.
- What technical skills are most important for this Senior Data Scientist role at Yahoo?
- Key technical skills include expertise in SQL and Python, experience with big data technologies like BigQuery and Spark, proficiency in visualization tools (Tableau, Looker), hands-on experience with A/B testing frameworks, strong machine learning skills (cluster analysis, neural networks, predictive modeling), and utilization of statistical techniques (regression, time series analysis).
- What qualifications does Yahoo look for in a Senior Data Scientist candidate?
- Yahoo seeks candidates with a Master's Degree in a quantitative field (math, engineering, statistics, data science), a minimum of 6+ years of experience in data science or product analytics (4+ years with a Ph.D.), subject matter expertise in consumer internet products, and experience in commerce or shopping. Familiarity with project management tools like JIRA is also beneficial.
- What is the work arrangement for the Senior Data Scientist position at Yahoo?
- Yahoo offers flexible hybrid work options. While most roles do not require regular office attendance, occasional in-person events or team sessions may be requested with advance notice. Your recruiter will confirm any specific office attendance requirements for this role.
- What is the salary range for the Senior Data Scientist role at Yahoo?
- The compensation for this position ranges from $128,250.00 to $266,875.00 annually. The exact salary will depend on factors such as your location, skills, and experience. The package may also include incentive compensation such as a discretionary bonus or commissions.
- How can I best prepare for the interview for the Senior Data Scientist role at Yahoo?
- Prepare by thoroughly reviewing your resume for relevance to the job description, practicing SQL and Python coding challenges, and being ready to discuss your experience with machine learning, statistical analysis, and A/B testing. Prepare to articulate how you've driven business impact and to communicate technical concepts clearly.