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Statistical Scientist - Predictive Modeling

          

Join Experian CSDA (Credit Services and Decision Analytics) R&D Data Lab concentrating on new data asset evaluation and acquisition as well as new product prototyping.

Experian R&D Data Lab Company: Experian R&D Data Lab
Location: San Diego, CA
Web: www.experian.com

Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations find, develop and manage customer relationships to make their businesses more profitable.

_Contact_:
Please send application and resume to shanji.xiong@experian.com

Position Summary: The person filling this position will be part of Experian CSDA (Credit Services and Decision Analytics) R&D Data Lab concentrating on new data asset evaluation and acquisition as well as new product prototyping. This position requires extensive background in machine learning and data mining and a proven track record in applying, modifying and inventing advanced innovative algorithms to solve difficult business problems. Previous experience in developing data driven statistical models on large data sets is required. Experience in text mining and signal processing is a plus.

The candidate must be able to balance multiple concurrent projects, have the ability to prioritize projects, anticipate obstacles, and make high quality deliveries on an aggressive schedule. The candidate must also be a team player that is self motivated and has excellent communication skills.

Key job functions include:

  • Analyzing, processing, evaluating and documenting large data sets
  • Designing data structure and data storage schemes for efficient data manipulation and information retrieval
  • Developing tools for data processing and information retrieval
  • Developing data driven models to quantify the value of a given data set
  • Applying, modifying and inventing algorithms to solve challenging business problems
  • Validating score performance
  • Conducting ROI and benefit analysis
  • Documenting and presenting model process and model performance
Requirements:
  • Advanced degree in Computer Science or other quantitative fields
  • Proven track record in developing and applying new innovative algorithm to address practical problems
  • Deep knowledge of and past experience in regression, Neural Network, SVM, boosted trees
  • Proven ability to work independently on development of complex models with extremely large and complex data structures
  • Proficient in Java, C++, or C
  • Proficient with at least one scripting language, such as Perl and Python
  • Plusses:
    • Extensive knowledge of MATLAB and SQL
    • Experience with GPU programming
    • Experience with horizontally scalable data stores such as Hadoop
    • Experience using SAS
_Contact_:
Please send application and resume to shanji.xiong@experian.com

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