Lead Data Scientist

  • 33268
  • Non-Life - Other
  • |
  • Massachusetts, United States
  • |
  • Jan 29, 2018
Insurance
RESPONSIBILITIES
  • Business Partnership: Translates business needs into established business goals and measures of success. Delves deeply into a varying array of large data sources, determining the appropriate data for the analysis to be performed, discovering issues, identifying potential uses, and preparing for analysis
  • Data Management: Works with and streamlines established data warehouses, initiates new development of databases, production data, and available tools to build strategic datasets in support of key initiatives. Establishes and systematically performs processes to assess and validate data accuracy.
  • Advanced Analytics: Under limited supervision, ascertains and executes plans to build, implement and maintain predictive models using available tools and programming languages. Monitors and provides feedback on model performance and recalibrates model as necessary.
  • Project Management: Independently gathers requirements from appropriate business partners for project, including necessary data for analysis to be performed. Develops project plans, executes on deliverables within agreed upon timeframes, manages deadlines, communicates progress and makes recommendations to address issues
  • Communication: Communicates results and subsequent implications to peers and business partners by summarizing analysis findings in order to build a business case.
QUALIFICATIONS
  • At least a PhD OR a Master’s Degree in Applied Mathematics, Statistics, Computer Science (or related fields) and a minimum of 1 year experience OR a Bachelor’s Degree and a minimum of 6 years of experience.
  • At least 3 years’ experience in programming languages for large scale data and predictive analysis (predictive modeling, machine learning or data mining).
  • At least 3 years’ experience with machine learning.
  • At least 3 years’ experience with relational databases.
  • At least 3 years’ experience with SQL and R.
  • Preferred:
  • 3+ years’ experience in programming languages for large scale data and predictive analysis (predictive modeling, machine learning or data mining).
  • 3+ years’ experience with machine learning.
  • 3+ years’ experience with relational databases.
  • 3+ years’ experience with SQL.