Senior Data Scientist II

  • 36614
  • Non-Life - Data Science
  • |
  • Michigan, United States
  • |
  • 4 days ago
Insurance
RESPONSIBILITIES
  • Provides technical and quantitative analysis for predictive modeling group.
  • Assists in statistical data mining and actuarial research by applying advanced statistical concepts.
  • Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.
  • Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.
  • Conducts research utilizing predictive modeling.
  • Interprets data and identifies correlations using both univariate and multivariate analysis.
  • Participates in and is responsible for advanced projects.
  • Presents findings and recommendations to appropriate groups.
  • Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings.
  • Communicates and trains users on model results.
  • Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.
  • Document model requirements.
  • Examine and analyze data to determine optimal modeling approach.
  • Identify candidate risk factors.
  • Build models using training, test, and cross-validation data sets.
  • Share model results.
  • Finalize model.
  • Delivers conclusions.
  • Deploy and maintain models with or without the assistance of the IT department.
  • Leads communication of predictive model results to company.
  • Leads implementation efforts for assigned predictive model projects.
  • Trains predictive modelers I and II in predictive modeling and other analytical tasks.
  • Performs ad hoc analysis to identify issues with existing models.
  • Designs and leads implementation efforts for the maintenance procedures for our models.
QUALIFICATIONS
  • Bachelor's degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged.
  • 7-10 years of research, modeling or actuarial experience required. Workers compensation experience is preferred.
  • Excellent interpersonal, organizational and communication skills.
  • Ability and proficiency in the use of computers and company standard software specific to position. General familiarity with the following software: SAS, R, SQL.
  • Strong database management skills.
  • Ability to provide direction to other department analysts.
  • Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction.
  • Ability to work effectively as a member of a team.
  • Resourceful problem solving skills and desire to succeed.
  • Knowledge of insurance and underwriting techniques, agency and policyholder needs.
  • Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision.
  • Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude.
  • Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations.
  • Ability to manage responsibilities as unexpected pressures/dilemmas arise.
  • Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making.
  • Ability to maintain confidentiality.
  • Expert knowledge of statistical modeling and data mining techniques.
  • Expert knowledge of modeling software and data manipulation techniques.
  • Ability to lead a project team in the full scope of project assignments.
  • Ability to serve as a mentor to others.