Senior Data Scientist

Location(s)

Alpharetta, Georgia, Bloomington, Illinois, Chicago, Illinois, Dallas, Texas, Jacksonville, Florida, San Antonio, Texas

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 independently designing, developing, implementing, and monitoring predictive modeling and analytical solutions that support pricing segmentation, product development, and profitable growth.

• Independently designs, develops, validates, and implements statistical and machine-learning solutions for complex business problems.
• Owns significant analytical and modeling work streams from problem definition through delivery and performance monitoring.
• Collaborates with data scientists, data engineers, and business partners to develop scalable analytical solutions.
• Develops reusable, well-documented analytical workflows using modern data science and cloud technologies.
• Manages priorities, deliverables, and timelines for assigned projects and communicates progress, risks, results, and recommendations to stakeholders.
• Participates in model and code reviews and recommends methodological or implementation enhancements.
• Provides technical guidance to less experienced team members and contributes to data science best practices.

• Bachelor’s degree in Mathematics, Statistics, Engineering, or another STEM field with at least 8 years of relevant experience, or a graduate degree in a STEM field with at least 6 years of relevant experience in the insurance industry, data science/analytics, or a related environment. PhD in a STEM field preferred, with at least 4 years of relevant industry experience
• At least 4 years of firsthand experience with statistical modeling and AI/ML platforms
• Demonstrated experience independently developing and delivering statistical or machine-learning solutions

• Strong proficiency in Python, including experience with common data science libraries such as pandas, Num Py, scikit-learn, Sci Py, and visualization libraries.
• Strong proficiency in SQL for data extraction, transformation, validation, and analysis of large and complex datasets.
• Strong understanding of statistical modeling and machine learning concepts, including model design, feature development, training, validation, performance evaluation, interpretation, and monitoring.
• Hands-on experience with a range of statistical and machine learning techniques, such as generalized linear models, regularized regression, tree-based models, ensemble methods, clustering, or neural networks.
• Ability to develop readable, maintainable, modular, and well-documented Python code and reusable analytical workflows.
• Experience working with large and complex structured datasets from relational databases, delimited files, data frames, and other common data formats.
• Strong problem-solving skills with the ability to independently develop analytical approaches for complex or ambiguous business problems.
• Excellent communication skills, particularly the ability to translate technical methodologies, results, and recommendations for both technical and business audiences.
• Ability to independently manage significant analytical work streams while collaborating effectively with data scientists, data engineers, and business partners.
• Experience participating in model reviews, code reviews, and technical discussions and providing…