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eBay

Data Science - Analyst 4

Sorry, this job was removed at 03:08 p.m. (PST) on Thursday, May 08, 2025
In-Office
San Jose, CA
180K-235K Annually
In-Office
San Jose, CA
180K-235K Annually

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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:

Partner with the Business Units and other cross-functional teams to meet their analytic needs and conduct extensive analyses of eBay's rich data, generating insights, and communicating those insights to the team to guide the project roadmap. Offer a strategic perspective, sound business judgment, deep analytical capabilities, and a collaborative working style. Construct business analytical models using PySpark (programming language to build ML model on Spark)/SparkSQL (querying language to analyze data on Spark) on eBay’s internal platforms like ModelFlow (eBay’s internal ML pipeline platform to submit and run ML models) and Krylov (eBay’s internal ML platform to build ML models). Design frameworks to segment customers based on their sentiment scores, and work with campaign managers to develop marketing campaigns to retain/recall buyers with negative sentiment scores. Build out the internal fact base through deep and innovative analysis of eBay's large and rich datasets. Conduct data analysis and research to understand user intent and behavior and build a case for improving existing features and experiences and designing new ones. 

What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Systems Science, Statistics, or a closely related field plus Three years of experience in the job offered or a related occupation.

Special Skill Requirements:

1.    Analyzing large scale datasets leveraging Python, R, SAS, SQL and Spark SQL to extract insights (3 years)
2.    Analyzing large scale linear behavioral stream datasets of customers (3 years)
3.    Building effective data pipelines to be leveraged for reporting and/or deep analysis (3 years)
4.    Setting up and analyzing A/B testing with deep statistical knowledge of econometric methodologies (3 years)
5.    Building statistical causal models (3 years)
6.    Building multivariate driver models to performance driver analysis on customer sentiments (3 years)
7.    Building predictive models leveraging retail customer data (3 years)

Salary: $180,128.00-234,850.00 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 [email protected]. 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.

 

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eBay San Jose, California, USA Office

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