Kemper

Data Scientist

Chicago, IL, US$93,300-$155,200Posted 14 days ago

Job Description

Location(s)

Alpharetta, Georgia, Boston, Massachusetts, Charlotte, North Carolina, Chicago, Illinois, Cincinnati, Ohio, Dallas, TexasDetails

*Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.*

Position Summary

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization’s success. As a member of the Kemper Auto Data Science team, this position is responsible for building and developing analytical solutions, especially in updating existing solutions.

Position Responsibilities

  • Independently designs and develops statistical models and analytical solutions.
  • Develops and automates analytical processes that can be deployed throughout the organization to solve recurring analytics needs.
  • Communicates project progress and challenges to the working team.
  • Develops database, technical, and business knowledge.
  • Documents modeling assumptions, methodology, code, and analytical results clearly and consistently.
  • Participates in model reviews, code reviews, and technical discussions with data science peers.

Position Qualifications

Minimum Job Requirements

  • Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience working in a data science/analytics environment.
  • PhD in Mathematics, Statistics, Engineering, or other STEM field with related industry experience preferred.

**Required

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