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Data Scientist - eBay

eBay


Location:
San Jose, California
Date:
02/02/2017
Categories:
  • Data Scientist
  • Data Engineer
eBay
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Job Details

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. The Selling Team is looking for a highly talented, creative and passionate applied researcher / data scientist to develop algorithms and systems that mine eBay's vast store of data to guide sellers make decisions that best their needs.

 

*Job Requirements 

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.

The Selling Team is looking for a highly talented, creative and passionate applied researcher / data scientist to develop algorithms and systems that mine eBay's vast store of data to guide sellers make decisions that best their needs.

Requirements

*Basic Qualifications

  • Influence the product strategy and road-map, including prioritization efforts and milestone reviews to ensure that solutions deliver results quickly as well as are part of strategy.
  • Lead data science and deliver data science needed by your feature team including application engineers, quality engineers, and PM.
  • Model business problems to data science problems, come up with solutions, work closely with your feature teams to get these data science products to ship, observe performance in production and refine them as needed.
  • Work collaboratively in a cross functional feature team, collaborate & mentor other data scientists.
  • Stay on the leading edge of data science.

 

Education

Masters Degree or Equivalent.