Search Science Data Scientist
vor 4 Tg.

Looking for a company that inspires passion, courage and creativity, where you can be on 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 crafting an ambitious and inclusive work environment, join eBay a company you can be proud to be with.

Looking to make an impact on the future of global commerce? Do you want to shape how millions of people buy, sell, and engage around the world?

The Search Query Understanding team is the biggest contributor to eBay’s search / query processing and drives a significant portion of revenue.

We are growing at a rapid pace and committed to building a stellar team. We are a team where people who think and do things differently and win are rewarded and grow.

Our team is results-oriented and hardworking. We are building solutions for core e-commerce search problems such as query rewriting, query annotation / classification, query recovery with state-of-the-art ML algorithms tailored to understand large-scale user behavioral signals.

The environment is friendly and fun. We get things done that make a difference.

We are looking for stellar applied researchers to join us and build the next generation of query understanding products in eBay search.

If you enjoy the scale and technical complexity of query processing (understanding query intent, entity resolution and tagging, categorization, intelligent query rewrites and clustering, application of knowledge graph, to name a few) and want to be at the frontier of applied research in e-commerce, join now.

Help us redefine query understanding at eBay.

Job Responsibilities

  • 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
  • Basic Qualifications

  • MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
  • 1-3 years (with PhD) or 3-5 years (with MS) of industrial experience in a related field
  • Industrial experience with one or more of the following : classification, regression, NLP, GBM, recommendation systems, clustering, fraud detection, DeepLearning / Neural Networks, 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
  • Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs.

    Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

    For more information see : and

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