Data mining scientist, Applied Research - eBay (San Jose, CA)

• Design and build predictive features, analyzing terabytes of historical data.
• Apply data mining, machine learning, graphical algorithms, statistical and other advance technologies to predict fraud based on significantly rich and extremely large datasets.
• Aggregate, synthesize, and analyze large amounts of data across DB & log files using SQL / Python / Perl etc.
• Deploy the learned systems into production where they need to process 100s of millions of transactions per day.
• 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.
• Provide guidance to other team members on various techniques and configurations.
• A strong technology and data analysis background with some machine learning education or exposure.
• Strong understanding of machine learning: neural networks, Bayesian techniques, scalable clustering algorithms etc.
• Hands-on SQL experience.
• Good communication skills, ability to work with large cross functional teams.
• Some experience with an ETL tool like Abinitio or Informatica or scripting technologies like Python / Perk.
• Experience / interest in internet / e Commerce / Web 2.0 companies is a plus.
• Bachelors Degree Required

What We're Looking For

Position: Data Mining, Applied Resrch 23161BR
Skills

• 1 yr exp ETL (Ab Initio, Cognos, Informatica).
• 1 yr exp Machine Learning.
• 1 yr exp Perl.
• 1 yr exp Information Technology

Primary Job Responsibilities

• Design and build predictive features, analyzing terabytes of historical data.
• Apply data mining, machine learning, graphical algorithms, statistical and other advance technologies to predict fraud based on significantly rich and extremely large datasets.
• Aggregate, synthesize, and analyze large amounts of data across DB & log files using SQL / Python / Perl etc.
• Deploy the learned systems into production where they need to process 100s of millions of transactions per day.
• 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.
• Provide guidance to other team members on various techniques and configurations.

• A strong technology and data analysis background with some machine learning education or exposure.
• Strong understanding of machine learning: neural networks, Bayesian techniques, scalable clustering algorithms etc.
• Hands-on SQL experience.
• Good communication skills, ability to work with large cross functional teams.
• Some experience with an ETL tool like Abinitio or Informatica or scripting technologies like Python / Perk.
• Experience / interest in internet / e Commerce / Web 2.0 companies is a plus.

• Bachelors Degree Required
• Masters Degree or Equivalent

URL: www.datashaping.com/jobs16944d.shtml
Please mention datashaping.com when applying. Thank you.