Senior Data Scientist

  • 38962
  • Life - Data Science
  • |
  • California, United States
  • |
  • Jan 26, 2021
insurance
RESPONSIBILITIES
  • Modeling and Hands-on Analytics
  • Opportunities to choose the right model to run to get the insights that will be used for the business use case
  • Work with the business partners to frame “the right question to ask”
  • managing the analytics project life cycle from initiation, problem framing, insight capture/delivery, operationalization and value capture.
  • Be an ambassador for the Advanced Analytics team by spreading analytics knowledge, tools and processes to partner organizations
  • Participate in rapidly sourcing, testing, discarding or implement new technologies in the analytics space.
QUALIFICATIONS
  • 8+ years of experience, including 5+ years in statistical modelling and analysis
  • Undergraduate Degree in Engineering, Mathematics or Statistics, or similar quantitatively intensive curriculum
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
  • Experience working directly with business partners to provide solutions to complex problems by delivering bespoke advanced models
  • Technical skills in modeling (AI/machine learning, H2O driverless AI, R and/or Python), data processing (Alteryx, Tableau Prep, SQL and/or Knime) and visualization (Tableau and/or Power BI)
  • Ability to work within an “Agile” methodology mindset - to be both fast paced and process-oriented.
  • Strong communication and interpersonal skills that align with the people-first culture at PL
  • Experience in Life Insurance and Retirement industry with an actuarial bent
  • ASA/FSA designation or progress towards one
  • Business related Masters’ degree