Senior Data Scientist

  • 38885
  • Health - Other
  • |
  • Massachusetts, United States
  • |
  • Jan 14, 2021
  • Leads and participates in the development, validation and delivery of algorithms, statistical models and reporting tools
  • Solves complex analytical problems
  • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
  • Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
  • Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
  • Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
  • Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
  • Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
  • Use strong programming skills to explore, examine and interpret large volumes of data in various forms
  • Demonstrates strong ability to communicate technical concepts and implications to business partners
  • Anticipates and prevents problems and roadblocks before they occur
  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
  • Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
  • 5 or more years of progressively complex related experience
  • Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree or PhD preferred.