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
- Design and build the next generation eBay Trust Science Data Platform
- Design scalable and robust platforms and applications for eBay-scale data.
- Seamlessly operate on and move data between Hadoop, relational databases, and NoSQL storage
- 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.
- Build predictive models/features using one or more of advanced techniques like Text Mining, NLP, Graph Mining and Relevance Ranking.
- 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
- 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, R with application to data mining)
- Parallel and/or distributed experience (MPI or Map/Reduce frameworks)
- 2+ years of hands-on SQL experience.
- Good communication skills, ability to work with large cross functional teams.
- 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
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