Hybrid Senior Data Scientist – Personal Insurance Auto

Posted 2 weeks ago

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About the role

  • End-to-end project leadership of predictive modeling solutions that support the auto class plan.
  • Mentoring and guidance of junior talent without direct reporting relationships
  • Test new data sources and modeling approaches to boost product performance.
  • Engineer features to uncover additional signal for our models.
  • Support model implementations with state Departments of Insurance (DOI), serving as a subject matter expert on the models you build and responding to DOI queries.
  • Maintain a portfolio of repositories and scripts and suggest improvements to workflows.
  • Assist in the modernization of model deployments using our cloud-based MLOps tools.
  • Collaborate with team members to plan and deliver projects in an Agile framework.
  • Develop and maintain analytic packages to facilitate data collection, analysis, and modeling.
  • Stay up to date on machine learning techniques, apply them to your work, and share them with your team and broader data science community.
  • Ensure analytic reproducibility, conduct code reviews, and maintain git hygiene.
  • Promote good practices in literate, navigable, and unit-tested code.
  • Share results to the business and make recommendations based on outcomes.

Requirements

  • Master's degree in Statistics, Data Science, Mathematics, Actuarial Science, Economics, Engineering, Physics, or similar analytical field
  • At least 5 years in the insurance industry, preferably in loss cost modeling or personal insurance products
  • Comfort with generalized linear models and related techniques (e.g. ridge and lasso regression, GAMs) and the math behind them
  • Hands-on experience with Python and a track record of delivering clean, literate code in a reproducible environment
  • Experience using GitHub for version control, documentation, code collaboration, and technical project management
  • Able to independently research solutions, identify when you are stuck, and seek help when needed.
  • Obsessed with identifying and eliminating workflow inefficiencies.
  • Passionate about tracking down the root cause of problems and identifying tradeoffs.
  • Demonstrated experience with listening to collaborators and brainstorming outcomes that address their business problems.
  • Experience building modeling solutions in cloud-native environments, such as SageMaker, a plus
  • Candidate must be authorized to work in the US without company sponsorship.

Benefits

  • Other rewards may include short-term or annual bonuses
  • long-term incentives
  • on-the-spot recognition

Job title

Senior Data Scientist – Personal Insurance Auto

Job type

Experience level

Senior

Salary

$110,720 - $166,080 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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