Principal Data Scientist

Posted:
8/21/2024, 3:56:47 PM

Location(s):
Illinois, United States ⋅ Chicago, Illinois, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
Remote

Location(s)

Chicago, Illinois, Remote-MA

Details

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. The Kemper Auto team has an immediate need for a talented Principal Data Scientist. This individual is responsible for directing the strategic development and solutioning in cross functional teams with respect to leveraging data science capabilities to solve various business problems. The Principal Data Scientist will also provide coaching and mentoring to junior analysts in the data scientist community.

Position Responsibilities:

  • Leads cross functional discussion with respect to leveraging Data Science capabilities to solve various business problems.
  • Presents analytical solutions to external business partners and senior leadership teams.
  • Manage project scope, expectations, and timeline and communicate project progress and challenges to external business partners and senior leadership team.
  • Leads Data Science model peer reviews with other DS groups and business partners. Provides recommendations for potential enhancements.
  • Provides coaching, mentoring to junior team members, including lead training sessions on statistical modeling and AI/ML technique.

Position Qualifications:

  • Graduate Degree in Mathematics, Engineering, or other STEM fields with 10+ years’ experience in insurance industry or related industry in a data science/predictive environment.
  • PhD in Mathematics, Engineering, or other STEM fields preferred with 8+ years’ experience in insurance industry or related industry in a data science/predictive environment.
  • At least 10 years of firsthand experience with Statistical Modeling and various AI/ML platforms
  • This position is a remote role and can work from a US based home. 

The range for this position is $130,800 to $225,600. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)  

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email.  Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates.  If you receive such a message, delete it.

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