part of Trust and Safety research group. Work on preventing and catching fraud, enforcing eBay policies, and mining data to help build future strategies.
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part of Trust and Safety research group. Work on preventing and catching fraud, enforcing eBay policies, and mining data to help build future strategies.
Company: eBay Inc.
Location: San Jose, CA
Web: www.ebaycareers.com
This position is part of the Trust and Safety (TnS) - Applied research group. We are responsible for applying advanced technology research to solve TnS business problems. TnS applications proactively prevent fraud, catch fraud, enforce eBay policies, as well as collect & mine data that will help build future Trust and Safety strategies. We build real time machine learning applications processing 100s of millions of transactions a day, learning from terabytes of historical data.
Primary Job Responsibilities
- Design and develop data preparation components and processes that extract and transform data across many DB tables and log files to prepare it for machine learning experiments.
- Build high performance and scalable data mining processes to sort, merge, join and aggregate large data files.
- Define complex SQL and other data extraction schemes to gather and filter needed data.
- Analyze various data sources statistically to discover Fraud patterns.
- Design and conduct various Machine Learning experiments and implement the models to detect Fraud/Risk.
- Evaluate the performance of the models, investigate false positive/false negatives and implement continuous improvements to the prediction models.
- Work with a large cross functional team consisting of scientists and engineers from eBay research and engineering teams, as well as analysts and business leaders from TnS and other business teams.
Job Requirements
- MS in computer science or related field with 4 years of relevant experience. Or BS in computer science or related field with 5 years of relevant experience
- A strong data analysis background with some exposure to statistical data analysis.
- 2+ years of experience with large data set processing and data mining.
- Strong programming skills (One or more of C/C++, java, perl, python with application to data mining)
- 2+ years of hands-on SQL experience.
- Good communication skills, ability to work with large cross functional teams.
Contact:
Lisa Shone at
lshone@paypal.com
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