Data Scientist

  • 36375
  • Non-Life - Data Science
  • |
  • New York, United States
  • |
  • Dec 4, 2019
  • Develop strategy on implementing new, market-leading analytics-based tools to understand and address risk.
  • Understand business problems to create an approach that starts with determining structured and unstructured data needs and availability, build Machine Learning models, and finalize with results that unlock insight for clients and colleagues.
  • Demonstrate advanced statistical analysis skill, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, to function in a collaborative and consultancy role.
  • Serve as an internal expert resource and champion for data science within the company.
  • Coach team members on the delivery of analytics-based tools and analyses and presentation of findings.
  • Manage small to medium-sized projects to direct the team in developing analytics-based tools.
  • Bachelor’s Degree in Math, Statistics, Data Science, Actuarial Science or related field; Master’s preferred.
  • Expert statistical modeling knowledge, including familiarity with machine learning techniques.
  • Can work independently with minimal supervision with ability to manage projects/processes.
  • Ability to face difficult and sometimes complex problems.
  • Ability to influence others within and outside of the job function regarding approach and procedures.
  • Ability to develop strong internal/external client oriented solutions.
  • Superior detail orientation, excellent communication and interpersonal skills.
  • Knowledge of modern programming languages such as Python; R, VBA, SQL may be helpful but not required.
  • Microsoft Office skills.