Data Scientist

San Francisco, California Requisition Number R0019080 Subsidiary StubHub

Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.

ORGANIZATION:     StubHub,www.stubhub.com (an eBay company NASDAQ: EBAY)

StubHub’s purpose is to connect people through inspiring event experiences. We connect fans with their favorite teams, shows and artists and introduce them to the ones they'll love next. As the largest ticket marketplace in the world, we enable fans to buy and sell tickets to tens of thousands of events, whenever they want, through our desktop and mobile experiences, including our StubHub app for iPhone, iPad, Apple Watch and Android. Offering a superior fan experience at its core, StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. Our industry firsts include the introduction of the first ticketing application, the first interactive seat mapping tool and the first live entertainment rewards program, Fan Rewards™. Our business partners include more than 130 properties in MLB, NBA, NHL, MLS and NCAA, plus AEG, AXS and Spectra Ticketing & Fan Engagement. With the acquisition of Ticketbis in August 2016, throughout the world, StubHub provides the total end-to-end event going experience.  StubHub is an eBay company (NASDAQ: EBAY).  For more information on StubHub, visit StubHub.com or follow @StubHub on TwitterFacebook and Instagram or YouTube.com/StubHub.

In this role, you will be responsible for developing proprietary machine learning models that improve user experience and drive StubHub business. You will work closely with the product and technology teams to deploy your algorithms in production with high fidelity.

The role is based in StubHub’s San Francisco headquarters. It reports to the Senior Data Science Manager and sits side by side with our integrated data science, data engineering and analytics functions.

  • Apply the state of the art machine learning algorithms to enhance the user experience.

  • Drive feature engineering and experimentation to improve model performance with a large set of proprietary data on users, performers, sports teams and events.

  • Actively participate in the discussion of product roadmap, data science initiatives and the optimal approach to apply the underlying algorithms.

  • Collaborate with other members in data science and analytics on data mining and predictive modeling.

  • PhD in machine learning, computer science, operations research or an equivalent quantitative field, or Master with relevant industrial experience.

  • Ability to translate a complex business or social problem into an actionable and testable model.

  • Excellent software development skills. Proficiency with data science tools like Python, R, relational database, and Hadoop/Spark.

  • Passion about sports and the live entertainment industry is strongly preferred.

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R0019080

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eBay Inc. is an equal opportunity employer, dedicated to workforce diversity. All qualified applicants will receive consideration for employment without regard to their protected veteran status and will not be discriminated against on the basis of disability or long term unemployment circumstances. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at globaltalentacquisition@ebay.com. We will make every effort to respond to your request for disability assistance as soon as possible.

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