Data Scientist II - Commerce (Yahoo Mail)

Posted Yesterday
United States of America
111K-231K Annually
3-5 Years Experience
AdTech • Digital Media • Information Technology • Other
The Role
As a Data Scientist for Yahoo Mail, you'll collaborate with product managers to enhance commerce utilities and affiliate revenue strategies. Your role includes conducting statistical analyses, ensuring high data standards, facilitating A/B testing, and delivering actionable insights using tools like BigQuery, Hive, and Tableau.
Summary Generated by Built In

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.

A Little About Us

Yahoo, with a strong foundation of 900 million users monthly, is in the midst of a renaissance; backed by substantial investment to drive meaningful, long-term growth, led by great products. Are you up for the challenge of writing a chapter on one of the biggest consumer product success stories in history? This won’t be easy, but if you’re motivated by huge opportunities, backed by an organization that is ready to invest in bold initiatives, and can’t wait to start building, Yahoo is the place for you.

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 Data Scientist for Yahoo Mail, you will collaborate with product managers to enhance commerce utilities and affiliate revenue strategies. Your focus will be on designing strategic research projects, utilizing your expertise in experimentation design and analytics. The ideal candidate will have a strong data science background, with experience in e-commerce and affiliate, and a passion for driving user engagement and revenue growth.

Your Day-to-Day:

  • Work in tandem with product teams to frame business challenges into data-analyzable questions, devise analysis strategies, and translate findings into actionable insights.

  • Undertake ad-hoc data mining and statistical analysis to unravel user behaviors, engagement levels, and product performance.

  • Advocate for and enforce high standards in data logging and instrumentation to ensure data integrity and accuracy.

  • Offer guidance on A/B testing, including design and evaluation, to product teams.

  • Utilize tools like Big Query and Hive to extract data, apply statistical methods, and generate insights.

  • Craft compelling visualizations in Tableau and Looker Dashboards to communicate findings to stakeholders.

  • Drive the development of measurement and reporting strategies to accurately reflect business results and guide future decisions.

Who You Are:

  • A 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.

  • Proficient in driving user growth through acquisition, retention, and churn analytics.

  • An effective communicator who presents insights to both technical and non-technical stakeholders with clarity and rationale.

Your Skills:

  • Proficiency in data querying languages (e.g., SQL) and scripting languages (e.g., Python).

  • Experience with big data technologies (e.g., BigQuery, Hive, Hadoop, Spark) to manipulate and analyze large datasets.

  • Expertise in data visualization tools (e.g., Tableau, Looker) to create intuitive and actionable dashboards.

  • Hands-on experience with A/B Testing, multivariate testing, and experimentation frameworks.

  • Strong knowledge of machine learning techniques, including predictive modeling, clustering, and neural networks.

  • Proficiency in statistical methods such as correlation analysis, regression models, design of experiments, and time series analysis.

Qualifications:

  • Minimum of 2 years of work experience with Master’s degree or 4 years with bachelor’s degree, in data science or product analytics.

  • Bachelor’s or Master’s in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.

  • Experience with digital product development.

  • Experience in affiliate marketing, e-commerce.

Nice to Have:

  • Subject matter expertise in consumer mail.

  • Experience in ad tech.

  • Familiarity with project management tools like those from Atlassian (JIRA, Confluence).

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.

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.

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 $111,000.00 - $231,250.00/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.

Currently work for Yahoo? Please apply on our internal career site.

Top Skills

Python
SQL
The Company
HQ: Sunnyvale, CA
10,001 Employees
On-site Workplace

What We Do

Yahoo is a global media and tech company that connects people to their passions. We reach nearly 900 million people around the world, bringing them closer to what they love—from finance and sports, to shopping, gaming and news—with the trusted products, content and tech that fuel their day. For partners, we provide a full-stack platform for businesses to amplify growth and drive more meaningful connections across advertising, search and media.

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