Ebay - Amsterdam NH

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. eBay Marketplaces operates in 190 markets around the world.
Like to shake things up? We do! eBay hires innovators who can push boundaries and change the world. Design, develop and implement testing practices to develop, apply and maintain high quality standards for company products. Think globally and help eBay be on the leading edge with new products, including cloud-based or internet-related tools.
Advertising is a fast growing, high priority area at eBay. The team builds and manages mission critical systems at a scale and complexity that is unique. eBay’s ad products serve 190 million buyers worldwide, and deal with 50 Billion daily events across various stacks. We’re crafting innovative ad-tech solutions to optimise the ad monetization and experience on eBay. Our goal is to build a valuable experience for our customers, while also driving performance for advertisers. To that end, we are innovating rapidly in the ad-tech space and there is no shortage of new challenges for motivated individuals.

This team focuses on building data / ML services for our advertiser sellers, to guide them ways to optimize for their ad budget and goals, for example by recommending the right inventory, keywords and Ads bid rate to apply for their campaigns, and eventually create campaigns automatically for advertisers. This is a relatively new area but with a very high business potential and need. It would allow you to work with massive amounts of data, and use a variety of data science techniques.
We are looking for passion for deploying to production reliable and efficient Machine Learning services at scale. You will collaborate with researchers to invent, design and implement end-to-end reliable, scalable, efficient production services in Scala/Java, and Python (or similar languages), using state-of-the-art big data and Machine Learning tools.
The ideal candidate will have a blend of science and engineering skills, proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills. The candidate will be expected to have strong communication skills and to be capable of cross-group collaborations. Come and help us blow away the boundaries of e-commerce through AI!
·Work with data scientists, engineers, and multi-functional teams to produce end-to-end production-ready solutions.
·Analyze Big Data to produce actionable insights
·Develop solutions for large scale problems in eBay
·Provide technical leadership and mentoring to other team members
·Translate business problems into Machine Learning problems
·Build quick prototypes and do preliminary explorations to decide on feasibility and direction
  • Must be currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Masters or PhD degree in Computer Science or a related field
  • Strong mathematical, statistical, and scientific modeling skills
  • Experience in predictive analytics, statistical modeling and coding.
  • Proficiency in SQL and handling large datasets.
  • Proficiency in Python or R.
  • Familiarity with Hadoop, Spark, and related technologies is a plus.
  • Able to work in tandem with business partners to formulate and solve tractable projects.
  • Pro-active. Organized. Practical. Solution oriented.
  • Strong interpersonal skills and an appreciation of diversity in teamwork
eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com. We will make every effort to respond to your request for disability assistance as soon as possible.
For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement