Data Scientist

  • 37004
  • Non-Life - Data Science
  • |
  • New York, United States
  • |
  • Mar 11, 2020
Insurance
RESPONSIBILITIES
  • Build predictive and/or Machine Learning models in SAS.
  • Research new statistical and mathematical techniques that are suitable and helpful for solving business related problems.
  • Prepare data for modelling and make best/creative use of applicable and available internal or external data.
  • Identifying and integrating new datasets that can be leveraged for modeling efforts.
  • Support related processes around effectively deploying model to business.
  • Effectively communicate results in written, oral and presentation formats to technical and non-technical audiences.
QUALIFICATIONS
  • Bachelor’s degree in statistics, applied mathematics, or related discipline.
  • 3+ years of Data Modeling or similar experience.
  • Experience with predictive modeling, preferably with multiple techniques.
  • Experience in model validation techniques, model testing and continuous monitoring of model performance.
  • Experience in Property & Casualty Insurance is strongly preferred.
  • Demonstrated experience working with large relational data sets.
  • Working knowledge in SAS, R, Python or another platform to develop and implement predictive models.
  • Ability and willingness to quickly gain knowledge of SAS enterprise guide and enterprise miner.
  • Ability to communicate complex technical information in common language to foster teaching and analytics guidance to internal customers.
  • Advanced experience in analytics, data cleaning, and predictive modeling.
  • Ability to write queries in SQL.
  • Detail-oriented and ability to work collaboratively.