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Data Science - Analyst 4

Role overview

Qualifications

  • Master’s degree in Data Science, Analytics, or a closely related field
  • Three years of experience in Data Analytics or Data Science
  • Experience with experimentation, designing, and interpreting results from AB tests
  • Experience building and debugging complex SQL scripts

Responsibilities

  • Design A/B tests and deliver customized software solutions
  • Perform deep dives and analyze eBay transactional and user behavioral data
  • Present findings to ensure data-informed decision making
  • Work with cross-functional teams to define key metrics and develop automated tools

About the company

eBay  logo

eBay

E-commerce & Online Marketplaces

At eBay, we create pathways to connect millions of sellers and buyers in more than 190 markets around the world. Our technology empowers our customers, providing everyone the opportunity to grow and thrive — no matter who they are or where they are in the world. And the ripple effect of our work creates waves of change for our customers, our company, our communities and our planet.

Company details

Company typeLarge
IndustryE-commerce & Online Marketplaces
Company size10001

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Job description

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the team and the role: eBay, Inc. seeks Data Science - Analyst 4 in San Jose, CA 

What you will accomplish: 
Job Duties: Design A/B tests and provide accurate data and decisions to deliver customized software solutions to fit specific needs and to drive the product improvement decisions. Perform deep dives and collect and analyze vast amounts of eBay transactional and user behavioral data to spot trends, identify outliers and make informed decisions. Present findings and perform knowledge sharing on a weekly basis to ensure data-informed decision making and accelerate decision-making efficiency. Work with the product management, product engineering, data engineering, architecture, and operations teams to define key metrics to measure product success, develop automated ETL pipelines, and develop automated reporting tools. Create a dashboard based on Tableau or Nous (an internal eBay-owned tool) and automated emails. Partial telecommuting permitted from within a commutable distance.

What you will bring:
Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Analytics, or a closely related field, plus three years of experience in the job offered or a related occupation in Data Analytics or Data Science.

Special Skill Requirements: 

  • Experience with experimentation, designing, and interpreting results from AB tests (2 years)
  • Experience building and debugging complex SQL scripts (2 years)
  • Experience building complex, data-heavy Tableau dashboards (2 years)
  • Advanced statistics concepts: running and interpreting results from statistical tests, variance reduction techniques using Python (2 years)
  • Experience in distilling insights from large datasets (2 years)
  • Experience with summarizing complex analysis into clear and concise stories that are easy to digest for cross-functional audiences (2 years)  
  • Experience with causal inference and techniques to control for selection bias - such as synthetic control (2 years) 
  • Experience with structuring and simplifying ambiguous problems and designing appropriate analysis to solve them. (2 years)
  • Experience with ETL tools to build and automate data pipelines (1 year)

Salary: $225,077.00-254,200.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.


Must be legally authorized to work in the U.S. without sponsorship. 
 

Additional Details

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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