Data Scientist

  • 39402
  • Non-Life - Data Science
  • |
  • New Jersey, United States
  • |
  • Apr 6, 2021
Insurance
RESPONSIBILITIES
  • Develop and maintain consultative relationships with key business stakeholders
  • Identify, source, transform and join public, proprietary and internal data sources
  • Model large structured and unstructured data sources
  • Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems
  • Perform analysis and implement solutions that maximize business impact
  • Prepare and present written and verbal reports to key stakeholders
  • Execute all aspects of an advanced analytical project under guidance
QUALIFICATIONS
  • Advanced degree (Masters or Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
  • Master’s degree graduates should additionally have at least two years of industry experience with responsibility for developing advanced quantitative, analytical, statistical solutions
  • Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data
  • Experience using tools such as Python, R, or equivalent for statistical modeling of large data sets
  • Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)
  • Software engineering experience in C/C++/C#/Java/Scala or similar object oriented or functional languages is highly regarded but not a prerequisite
  • M.B.A. when combined with advanced quantitative degree is highly regarded but not a prerequisite
  • Prior academic or industry research experience is highly regarded but not a prerequisite
  • Prior exposure to financial services or insurance industry may be helpful but is not a prerequisite