Data Scientist

  • 34835
  • Non-Life - Data Science
  • |
  • Ohio, United States
  • |
  • Mar 7, 2019
Insurance
RESPONSIBILITIES
  • Mining text data for use in classification / predicting business outcomes.
  • Building anomaly detection models to determine fraudulent activity, unexpected trends in data, etc.
  • Applying machine learning to image classification for key business applications.
  • Identifying, evaluating, and productionizing new data sources.
  • Predictive modeling related to improving insurance pricing.
QUALIFICATIONS
  • Strong programming skills, especially R and/or Python
  • Demonstrated experience in building, validat.ing, and leveraging machine learning models.
  • Demonstrated skill with data mining, data munging, coping with missing / corrupt / unstructured data.
  • 1+ years of industry experience building predictive models OR graduate-level research in a relevant area.
  • Preferred:
  • Master's degree or Ph.D. in mathematics, physical sciences, engineering, or other technical discipline.
  • 3+ years of industry experience building predictive models.
  • Experience using big data tools and cloud computing.
  • Experience with version control.
  • Advanced knowledge of physics, linear algebra, probability/statistics.
  • Experience building insurance pricing models.