Senior Data Scientist - Fraud

5 - 7 years experience  •  Information Services

Salary depends on experience
Posted on 08/07/17
5 - 7 years experience
Information Services
Salary depends on experience
Posted on 08/07/17

xpertise     Scientific
Education     Masters (or equivalent work experience)
Job Type     Full Time
Location     UT-Lehi
Years of Experience     5-8 Years

Position Summary

Our Claims Analytics business is seeking an experienced Senior Data Scientist to serve as a technical resource in the conception and development of new predictive modeling initiatives.  *Candidates could work out of either Jersey City, NJ, Lehi, UT, San Francisco, or Columbia, SC office.

 Responsibilities

  • Suggest and develop innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as meet design requirements and project timeline
  • Research, evaluate, and recommend internal and external data sources and coordinate with data resources
  • Serve as the senior technical person on data cleansing, variable creation, variable transformation, etc., as well as best-practices in the creation of analytic datasets
  • Serve as the consummate technical person in model development and validation analyses - from driving pragmatic practice of methods to devising novel solutions and diagnostic measures, to coaching and mentoring junior staff
  • Act as senior technical person in development and execution of methods to address needed business diagnostics; review, and aid productization and deployment
  • Provide significant input to Product Management on implementation specifications and production testing
  • Act as senior technical person to develop process and metrics to monitor model performance
  • Review reports and make recommendations for needed model refits / enhancements
  • Keep abreast of business trends / product needs
  • Research literature to stay current on technical methods to solve specific problems

 

Requirements

  • Graduate degree (M.S. required, Ph.D. preferred) in a quantitative discipline
  • 2+ years professional experience building predictive and descriptive models
  • Exposure to the property & casualty industry is desirable, and experience with fraud detection is a big plus                                                
  • Experience, and expertise in diverse statistical and data mining techniques (e.g. - GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, text mining, social network analysis etc.)
  • Demonstrated proficiency with statistical packages in Spark ML-Lib, Python, R, or SAS is a must
  • Ability to program in Python, Spark, Scala, R, or SAS is highly desirable
  • Understanding of RDBMs and interactive SQL programming skills are a must
  • Experience with Big Datatechnologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) is highly desirable
  • Aptitude for picking up new technologies is expected

Job ID:  20170522-9427-EF

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