Yahoo Logo

Yahoo

Data Scientist II - Commerce (Yahoo Mail)

Posted Yesterday
Be an Early Applicant
Canada
Junior
Canada
Junior
As a Data Scientist II for Yahoo Mail, you will work with product teams to analyze data and drive insights, enhance commerce utilities, and improve revenue strategies. Responsibilities include statistical analysis, A/B testing, and creating dashboards. Ideal candidates should have experience in e-commerce, a data analytics background, and the ability to communicate insights effectively.
The summary above was generated by AI

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.

Here at 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).

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.

The compensation for this position ranges from $88,800.00 - $148,000.00/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 a competitive health and dental package, RRSP match program, 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

Similar Jobs

3 Days Ago
Remote
50 Locations
Mid level
Mid level
Hardware • Information Technology • Other • Software • Analytics
As a Data Scientist, you will analyze and optimize pricing strategies for subscription products. You'll collaborate with teams to refine pricing, build predictive models, and improve operational efficiencies based on data insights. Your role involves data pre-processing, visualization, and communicating findings effectively across various teams.
Top Skills: PythonR
An Hour Ago
Hybrid
Burlington, ON, CAN
Mid level
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The role involves designing and implementing fraud solutions, developing statistical fraud models, ensuring model validation, and supporting analytics efforts to drive client adoption of fraud solutions. The individual will collaborate with various teams, manage projects, and ensure compliance with regulatory issues.
Top Skills: PythonR
12 Hours Ago
Remote
Hybrid
2 Locations
Senior level
Senior level
Fintech • HR Tech
The Senior Data Scientist will analyze payments and risk data to enhance Gusto's products and build secure platforms. They'll collaborate with cross-functional teams, build predictive models, and communicate data insights to stakeholders.
Top Skills: PythonRSQL

What you need to know about the Vancouver Tech Scene

Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account