Overview
On Site
Compensation information provided in the description
Full Time
Skills
Electronic Commerce
Data Science
Artificial Intelligence
User Experience
Retail
Collaboration
Shipping
Scalability
Research and Development
Statistics
Analytics
Python
Apache Spark
SQL
Machine Learning (ML)
A/B Testing
Modeling
Predictive Analytics
Apache Hadoop
Time Series
Data Visualization
Tableau
Finance
Accessibility
Privacy
Job Details
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 2 in Bellevue, WA
What you will accomplish:
Job Duties: Design and Implement End-to-end Solutions Using Machine Learning and AI, improving efficiency and user experience for Buyers and Sellers. Conduct experiments and evaluate the performance of the models, investigate false positives/false negatives, and implement continuous improvements to retail standards. Collaborate with other Researchers, Engineers, and Product Teams to develop strategic and tactical enhancements to our shipping and trust platforms. Communicate your methodology and results to a community of Researchers, Developers, Analysts, and Product Managers working on a number of related technologies. Work with Data Scientists, Engineers, and Cross Functional Teams to produce end-to-end production-ready solutions. Maintain responsibility for quality, performance, scalability, and reliability. Estimate effort, build research and development plans, and prioritize work according to the needs of the Business.
What you will bring:
Minimum Requirements: Master's degree, or foreign equivalent, in Statistics, Analytics, or a closely related field.
Special Skill Requirements:
1. Python
2. Spark
3. SQL
4. Machine Learning
5. A/B Testing
6. Statistical Modelling
7. Predictive Analytics,
8. Hadoop
9. Time Series
10. Data Visualization: Tableau
Base Salary: $118,414 - $205,700 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 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.
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.
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 2 in Bellevue, WA
What you will accomplish:
Job Duties: Design and Implement End-to-end Solutions Using Machine Learning and AI, improving efficiency and user experience for Buyers and Sellers. Conduct experiments and evaluate the performance of the models, investigate false positives/false negatives, and implement continuous improvements to retail standards. Collaborate with other Researchers, Engineers, and Product Teams to develop strategic and tactical enhancements to our shipping and trust platforms. Communicate your methodology and results to a community of Researchers, Developers, Analysts, and Product Managers working on a number of related technologies. Work with Data Scientists, Engineers, and Cross Functional Teams to produce end-to-end production-ready solutions. Maintain responsibility for quality, performance, scalability, and reliability. Estimate effort, build research and development plans, and prioritize work according to the needs of the Business.
What you will bring:
Minimum Requirements: Master's degree, or foreign equivalent, in Statistics, Analytics, or a closely related field.
Special Skill Requirements:
1. Python
2. Spark
3. SQL
4. Machine Learning
5. A/B Testing
6. Statistical Modelling
7. Predictive Analytics,
8. Hadoop
9. Time Series
10. Data Visualization: Tableau
Base Salary: $118,414 - $205,700 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 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.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.