• Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.).

• Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks.

• Prior experience working with AWS is a plus.

• Some experience with natural language processing is preferred.

• Some experience working with LLMs via API is preferred but not required.

• Ability to work with various data formats. This includes relational databases, delimited text files, data frames, and JSONs.

• Excellent overall communication skills, especially the ability to translate technical results for non-technical audiences.

• Graduate degree required in a quantitative field: Mathematics, Statistics, CS, Physics, MIS, Economics, Electrical Engineering, etc.

• 2+ years’ experience in a data science/ predictive analytics environment preferred.

• Self-directed and able to work with little supervision

• Sponsorship is not accepted for this opportunity

• The range for this position is $93,500 to $155,200. 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.)

• This is a hybrid role and can be worked out of a local Kemper corporate location

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.

#LI-JO1 

#LI-HYBRID