Data ScientistSan Jose, California Requisition Number R0023124 Subsidiary eBay
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.
About the Team:
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience. You will be a member of the decision science team containing both data scientists and data engineers with end to end responsibility for machine learning model development, deployment, and monitoring.
As a member of the decision science team, you will research and develop new methodologies and techniques to improve the overall effectiveness of risk management. Mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors. Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones. Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs. Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes. Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
- 1-5 years of experience
- Transactional risk experience a bonus but not required
- Bachelor’s degree in a quantitative field, MS/PHD preferred
- Experience in SQL, relational databases
- Experience with Big Data technology: Hadoop framework: Hive, Spark, etc.
- Expertise in machine learning packages Python, R,SAS
- Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
- Background in a variety modeling techniques:GBM, logistic regression, clustering, neural networks, NLP
- Strong analytical skills with good problem solving ability
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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 firstname.lastname@example.org. We will make every effort to respond to your request for disability assistance as soon as possible.
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