Catastrophe Modeler

Lemonade United States of America
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  • 8+ years of statistical modeling experience
  • Advanced experience developing and implementing predictive models using both supervised and unsupervised machine learning approaches such as GLM, decision tree, and gradient boosting machines
  • Bachelor’s degree in Data Science, Economics, Mathematics, Statistics, Actuarial Science or a related field (or equivalent experience)
  • Proficiency in data science programming languages such as R or Python (preferred), and database query tools such as SQL
  • Ability to work in a remote environment
  • Prior experience in the insurance industry is a plus
  • Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture *Please note that we are unable to sponsor applicants for work visas Unfortunately, we cannot consider applicants from these states; Colorado, California, Montana, Hawaii, New Mexico and Puerto Rico Lemonade's US base salary range for this full-time position is $160,000 - $185,000 plus equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Speak to your recruiter to hear more about the specific salary range for your preferred location. ||#LI-Remote||