About eBay Inc.

At eBay, our systems scale to billions of transactions per day, and we run our site 24x7 with 99.99% reliability. We have more than 30 million lines of J2EE/Java based source code. We are leaders in cloud computing, SOA, search, and many other specialties. We love technology, open source, and interacting with the industry. Our employees are friendly, caring people who form great teams, and who understand how to be world class engineers and still have fun and work-life balance.

Wednesday, November 16, 2011

Job: Data Platform Engineer (ebay) at eBay, Inc. - San Jose, CA

EBay - Mts 2 Data Platform Engineer (ebay) jobs in Silicon Valley at eBay

MTS 2 Data Platform Engineer (eBay)

Job Location: San Jose, CA

Primary Job Responsibilities

Team

This position is part of the Trust Science – Applied research group. We are responsible for applying advanced technology research to solve Trust business problems. Trust 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.

Responsibilities - Data Platform Engineer/Architect

  1. Design and build the next generation eBay Trust Science Data Platform
  2. Design scalable and robust platforms and applications for eBay-scale data.
  3. Seamlessly operate on and move data between Hadoop, relational databases, and NoSQL storage
  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. Build predictive models/features using one or more of advanced techniques like Text Mining, NLP, Graph Mining and Relevance Ranking.
  8. To deliver on above stated responsibilities, you may also need to work on one or more of the following.
    • 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.
    • 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. A strong data analysis background with some exposure to statistical data analysis.
  2. 2+ years of experience with large data set processing and data mining.
  3. Strong programming skills (One or more of C/C++, java, perl, python, R with application to data mining)
  4. Parallel and/or distributed experience (MPI or Map/Reduce frameworks)
  5. 2+ years of hands-on SQL experience.
  6. Good communication skills, ability to work with large cross functional teams.
  7. Specialized Skills like Text Mining, NLP, Graph Mining, Relevance Ranking are a plus.

Education

Bachelors Degree Required

Job ID: 57485BR


Please send resume to David Sneed: dasneed@ebay.com

No comments:

Post a Comment

Powered By Blogger