Data Scientist

Location:

Bellevue, Washington
Austin, Texas
Boston, Massachusetts
New York, New York
Draper, Utah
Requisition Number:
R0042898
  • It is all about knowing our customers. The customer science team is in the unique position to study eBay customers and our work helps eBay to deliver personalized experiences to our buyers and sellers. We innovate rapidly in this space and there is no shortage of new challenges for motivated individuals.

    As a candidate, you will be working with senior applied researchers on projects that deliver values to millions of eBay customers. If you enjoy the scale and technical complexity of real world problems and want to be at the frontier of applied research in e-commerce, join us now.

    ***NOTE this role will require someone with a strong background in Object Oriented programming (Java). This is NOT an Analyst role (Although Data analysis will be part of the role). This is not a Recent Grad role ***

    Responsibilities:

  • MS or Ph.D. in Computer Science or closely related field.
  • Excellent understanding of computer science fundamentals, data structures, and algorithms.
  • Strong analytical and research skills demonstrated through publications in reputed conferences/journals or supporting demonstration of innovation.
  • Familiarity with predictive models/search/recommendation/classification applications and domains will be a plus.
  • 4+ years Python/Java/C++/R experience.
  • Excellent problem solving skills.
  • Processing large datasets, data mining, machine learning, and information retrieval expertise is preferred.
  • Experience in Hadoop, GPUs, Hive, Hbase will be a plus.

  • Basic Qualifications:
  • Solid Professional background in Software Engineering with a focus on Object Oriented, Back End Development required
  • Strong experience with Java and  the Spring Framework is Required.
  • Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark is required
  • MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
  • Expected experience:
    • PhD - at least 2 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field .
    • M.S. – at least at least 4-5 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field .
  • Experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related is a plus
  • Experience with site experimentation (A/B testing) is a plus
  • Enthusiastic collaboration and effective communication are essential

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

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View our privacy policy and accessibility info

Data Scientist

Bellevue, Washington
Austin, Texas
Boston, Massachusetts
New York, New York
Draper, Utah
Requisition Number R0042898 Subsidiary eBay
  • It is all about knowing our customers. The customer science team is in the unique position to study eBay customers and our work helps eBay to deliver personalized experiences to our buyers and sellers. We innovate rapidly in this space and there is no shortage of new challenges for motivated individuals.

    As a candidate, you will be working with senior applied researchers on projects that deliver values to millions of eBay customers. If you enjoy the scale and technical complexity of real world problems and want to be at the frontier of applied research in e-commerce, join us now.

    ***NOTE this role will require someone with a strong background in Object Oriented programming (Java). This is NOT an Analyst role (Although Data analysis will be part of the role). This is not a Recent Grad role ***

    Responsibilities:

  • MS or Ph.D. in Computer Science or closely related field.
  • Excellent understanding of computer science fundamentals, data structures, and algorithms.
  • Strong analytical and research skills demonstrated through publications in reputed conferences/journals or supporting demonstration of innovation.
  • Familiarity with predictive models/search/recommendation/classification applications and domains will be a plus.
  • 4+ years Python/Java/C++/R experience.
  • Excellent problem solving skills.
  • Processing large datasets, data mining, machine learning, and information retrieval expertise is preferred.
  • Experience in Hadoop, GPUs, Hive, Hbase will be a plus.

  • Basic Qualifications:
  • Solid Professional background in Software Engineering with a focus on Object Oriented, Back End Development required
  • Strong experience with Java and  the Spring Framework is Required.
  • Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark is required
  • MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
  • Expected experience:
    • PhD - at least 2 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field .
    • M.S. – at least at least 4-5 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field .
  • Experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related is a plus
  • Experience with site experimentation (A/B testing) is a plus
  • Enthusiastic collaboration and effective communication are essential

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

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies

View our privacy policy and accessibility info