Lead Decision Scientist

Chicago, IL
Posted 1 year ago


  • MS in Data Science, Statistics, Mathematics or Engineering


  • 2+ years of professional experience in predictive modeling/analytics with regression, classification and clustering techniques utilizing machine learning algorithms.
  • Strong background in modeling, statistics, and optimization that can be demonstrated by either industry experience, advanced coursework, or published academic research.
  • Experience working with APIs (including RESTful APIs)
  • Knowledge of querying data sources directly using SQL-like query languages from data warehouse
  • Strong understanding of business processes and how data architectures and reporting procedures impact them


  • Build, deploy, and maintain predictive models that will help us continuously improve our commitment to elevating fraud detection and prevention.
  • Construct informative reports necessary for relevant stakeholders
  • Apply  proficiency in quantitative analysis, data mining, and presentation of the data to see beyond the numbers against our retail, travel, ticketing, and virtual data.
  • Identify new metrics and implement scoring methodologies
  • Stay current with leading edge systems, methods, and best practices for big data/data science analytics and data infrastructure.

Job Features

Job CategoryData Science

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