Senior Data Scientist

The Hartford

Columbus, OH, United States
Base: $110,720 - $166,080 annually; bonus/equity: ...
Hybrid
5+ years statistical or ml model development experience
Strong python and sql programming skills
Experience with git version control and cloud ml environments
The role involves leading end-to-end model development including problem definition, data exploration, validation, and monitoring for business insurance strategies

Job Summary

  • The role involves leading end-to-end model development including problem definition, data exploration, validation, and monitoring for business insurance strategies.
  • Candidates will partner with Actuarial, Underwriting, Product, and Data Engineering teams to align modeling work with enterprise business strategies.
  • The position offers the opportunity to work at the intersection of Data Science and Actuarial Science using modern tools like generative AI.

Matching Summary

The role involves leading end-to-end model development including problem definition, data exploration, validation, and monitoring for business insurance strategies.

Salary

Base: $110,720 - $166,080 annually; Bonus/Equity: Short-term or annual bonuses and long-term incentives available; Benefits: On-the-spot recognition and other rewards included

Skills & Requirements

Must-have

  • 5+ years statistical or ML model development experience
  • Strong Python and SQL programming skills
  • Experience with Git version control and cloud ML environments

Nice-to-have

  • Insurance analytics domain experience
  • Familiarity with model governance and monitoring frameworks
  • Experience with Agile delivery or MLOps pipelines

Key Requirements

  • Master's/PhD in Statistics, Data Science, Applied Math, Computer Science, or Actuarial Science
  • Must be authorized to work in the US without company sponsorship
  • No STEM OPT I-983 Training Plan endorsement support provided

Work Rights

Must be authorized to work in the US without sponsorship

Tailored Resume

Cover Letter