Strong individual contributor with interest in growing a team of data scientists; Applying principled methods to quantitative insurance challenges in areas such as telematics risk scoring, pricing, reserving, and estimating customer lifetime value; Learning the required tools to get the job done, e.g. Python, R, Spark, SQL, etc; Building data processing pipelines to quickly iterate on research ideas and put them into production; Effectively communicating insights from complex analyses; Taking end-to-end ownership of problem domains and continuously improving upon quantitative solutions
Masters or PhD in a quantitative discipline with 5+ years of applying advanced quantitative techniques; Exceptional communicator and storyteller; Strong programming skills with experience using modern packages in R and Python; Demonstrated experience building, validating, and applying statistical machine learning methods; Strong programming skills in R or Python; Knowledge of data science technical stacks
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