Data Scientist

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.

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.

Responsibilities:

• Independently designs and develops analytical solutions.
• Develops and automates processes that can be deployed throughout the organization to solve reoccurring analytics needs.
• Communicates project progress and challenges to the working team.
• Develops database, technical, and business knowledge.

Qualifications:

• 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.
• Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, matplotlib, 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.
• Some experience with natural language processing is preferred.
• Prior experience working with imbalanced datasets and AWS is a plus.
• Ability to work with various data formats including relational databases, delimited text files, data frames, and JSONs.
• Excellent communication skills with the ability to translate technical results for wide audiences.