Sr. Data Scientist, Product Analytics and Experimentation - Yahoo! Mail

Key Skills

A/B Testing, Apache Hadoop, Apache Hive, Big Data Technology, Google BigQuery, JIRA, Machine learning techniques, Python Programming, SPARK Programming, SQL, Statistical modeling

Job Description

As part of Yahoo Research, Analytics, and Data organization, 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.

A Lot About You

As a Senior Data Scientist for Communications (Yahoo Mail), you will collaborate with product managers 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 and analytics.

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, business analytics or a related field.
• 2+ years of experience mentoring data science professionals.

Nice to Have:

• Subject matter expertise in consumer mail.
• Experience in ad tech.
• Familiarity with project management tools like those from Atlassian (JIRA, Confluence).

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 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 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion (www.yahooinc.com/diversity/) page to learn more.

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, in addition to equity incentives. Yahoo provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation, sick time, parental leave and an employee assistance program. Eligibility requirements apply.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements.

If you’re curious about how this factors into this role, please discuss with the recruiter.