Data Scientist

Location(s)

Alpharetta, Georgia;
Boston, Massachusetts;
Charlotte, North Carolina;
Chicago, Illinois;
Cincinnati, Ohio;
Dallas, Texas.

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.

• Independently design and develop statistical models and analytical solutions.
• Develop and automate analytical processes that can be deployed throughout the organization to solve recurring analytics needs.
• Communicate project progress and challenges to the working team.
• Develop database, technical, and business knowledge.
• Document modeling assumptions, methodology, code, and analytical results clearly and consistently.
• Participate in model reviews, code reviews, and technical discussions with data science peers.

• 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.

• Strong proficiency in Python, including experience with common data science libraries such as pandas, Num Py, scikit-learn, Sci Py, and visualization libraries.
• Proficiency writing and interpreting SQL queries for data extraction and analysis.
• Solid understanding of statistical modeling and machine learning concepts, including model training, validation, performance evaluation, and interpretation.
• Hands-on experience with common statistical and machine learning techniques, such as generalized linear models, regularized regression, tree-based models, ensemble methods, clustering, or neural networks.
• Ability to write readable, maintainable, and well-documented Python code.
• Experience working with structured datasets from relational databases, delimited files, data frames, and other common data formats.
• Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.
• Ability to work independently on defined assignments while seeking guidance appropriately on complex or ambiguous problems.

• Experience with time series modeling techniques, such as ARIMA, forecasting, or trend analysis.
• Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical business environment (preferred but not required).
• Experience with Git, Git Lab, or other version control and collaborative development tools.
• Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments.
• Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible pipelines, and model deployment.

Other Sponsorship is not accepted for this role. This role can be worked hybrid out of Richards, TX or Alpharetta, GA office. Remote options are available for non-local candidates. The range for this position is $93,300 to $155,200. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.).

Kemper is 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.