At eBay, were 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. Were 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 Bellevue, WA

What you will accomplish:

Job Duties: Conduct product analysis and identify opportunities to drive transformative change in the customer experience and result in significant business growth through mining the largest datasets and leverage big data techniques to extract impactful insights. Utilize statistical models and data visualization software (i.e.: Python, Tableau, SQL, Spark, R, Hadoop, Amplitude, etc.) on large structured and unstructured data to derive insights that improve the relevance and ranking of Search results. Drive integration of Generative Artificial Intelligence (Al) capabilities into eBay’s search engine. Perform product A/B experiments and provide structured, hypothesis-driven, and data supported practical solutions to facilitate product decisions. Coordinate with Engineering, Product, Business, and Data Science teams to deploy new search features and implement and support data pipelines that leverage eBays unique platforms and data sets. Lead and oversee the full scope of analytical projects for the GenAI, Autocomplete and Relevance in Search. This role involves managerial responsibilities, including training and mentoring junior analysts to ensure successful delivery of project outcomes. Partial telecommuting permitted from within a commutable distance.

What you will bring:

Minimum Requirements: Masters degree, or foreign equivalent, in a quantitative field such as Data Science, Computer Science, Applied Mathematics, Statistics or a related field plus four years of data science or analytics experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in a quantitative field such as Data Science, Computer Science, Applied Mathematics, Statistics or a related field plus six years of data science or analytics experience in the job offered or a related occupation.

Special Skill Requirements:

1. SQL (4 years)

2. Programming experience in Python (3 years)

3. Experience in large scale distributed data mining systems like Spark (2 years)

4. Experience in A/B testing (2 years)

5. Experience in Data visualization tools like Tableau (2 years)

6. Experience in Machine learning and Statistical models (2 years)

7. Experience in Natural language processing (1 year)

8. Experience in product analytics tools like Mixpanel or Amplitude (2 years)

Salary: $183,581.00-262,900.00 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.

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.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

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 eBays commitment to ensuring digital accessibility for people with disabilities.

The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.