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Senior Data Mining Engineer

          

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

  1. 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.
  2. Build high performance and scalable data mining processes to sort, merge, join and aggregate large data files.
  3. Define complex SQL and other data extraction schemes to gather and filter needed data.
  4. Analyze various data sources statistically to discover Fraud patterns.
  5. Design and conduct various Machine Learning experiments and implement the models to detect Fraud/Risk.
  6. Evaluate the performance of the models, investigate false positive/false negatives and implement continuous improvements to the prediction models.
  7. 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

  1. 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
  2. A strong data analysis background with some exposure to statistical data analysis.
  3. 2+ years of experience with large data set processing and data mining.
  4. Strong programming skills (One or more of C/C++, java, perl, python with application to data mining)
  5. 2+ years of hands-on SQL experience.
  6. Good communication skills, ability to work with large cross functional teams.

Contact:

Lisa Shone at lshone@paypal.com


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