What You Will Accomplish
- Seek scientifically valid solutions that deliver real value to eBay customers
- Build machine learning models and data pipelines to deliver insightful yet practical solutions
- Work with multiple teams to help promote standard scientific methodologies and processes in your field
- Present key technical and novel research work in public forums and conferences
What You Will Bring
- MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
- 4-8 years (with PhD) or 8-11 years (with MS) of industrial experience in a related field
- Industrial experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related
- Experience in big data processing, e.g. Hadoop, SQL, Spark
- Experience with Python or R, and Java or Scala or C/C++
- 2 or more related publications in quality conferences or journals
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.