Data Scientist

Kemper Corporation; Alpharetta (GA); Hybrid; USD 93,300 - 155,200; Full time

Benefits offered by this job

Hybrid work

Remote options

Medical insurance

401k

Job summary

KempER Corporation in Alpharetta, GA is seeking a data scientist to design and develop analytical solutions, update existing models, and drive data-driven decision making across the organization.

You will work with Python, SQL, and ML techniques, build scalable analytics processes, participate in model reviews, and document methods and results; this role supports a hybrid office model (Alpharetta or Richards, TX) with remote options for qualified candidates.

Qualifications

• Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience in data science/analytics.
• PhD in Mathematics, Statistics, Engineering, or related field preferred.

Responsibilities

• Independently design and develop statistical models and analytical solutions.
• Develop and automate analytical processes deployed across the organization.
• Communicate project progress and challenges to the team.
• Develop database, technical, and business knowledge.
• Document modeling assumptions, methodology, code, and results clearly.
• Participate in model reviews, code reviews, and technical discussions with data science peers.

Skills

Python

SQL

Statistics

Machine learning

Python code quality

Data wrangling

Communication

Independence

Education

Graduate degree in Mathematics/Statistics/Engineering

PhD in Mathematics/Statistics/Engineering

Tools

Git

GitLab

Databricks

AWS/Azure

Job description

Location(s)

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

Position Summary

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.

Position Responsibilities

• 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.

Position 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.

Required Job Skills

• Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, 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.

Preferred Qualifications

• 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, GitLab, 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.

Compensation and Benefits

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.).

Equal Opportunity Employer

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.