Data Scientist

Kemper Insurance; Dallas (TX); Hybrid; USD 93,000 - 155,000; Full time

Benefits offered by this job

Annual discretionary bonus

Medical

Dental

Vision

PTO

401k

Job summary

Kemper Insurance is seeking a Data Scientist for the Auto Data Science team in a hybrid role based in Dallas, TX, with remote options for non-local candidates. The position offers a salary range of 93,300 to 155,200 USD per year and includes an annual discretionary bonus along with medical, dental, vision, PTO, and a 401(k) plan.

Sponsorship is not available. The role focuses on designing models, automating analytics, and refining existing solutions to support Kemper's competitive advantage,

Qualifications

• Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience in data science/analytics.
• Strong proficiency in Python, including 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 GLMs, regularized regression, tree-based models, ensemble methods, clustering, or neural networks.
• Ability to write readable, maintainable, and well-documented Python code.
• Experience with structured datasets from relational databases, delimited files, data frames, and other common data formats.
• Excellent communication skills, particularly translating technical results for wide audiences.
• Ability to work independently on defined assignments while seeking guidance on complex problems.

Responsibilities

• Independently designs and develops statistical models and analytical solutions.
• Develops and automates analytical processes deployed across the organization to solve recurring analytics needs.
• Communicates project progress and challenges to the working team.
• Develops database, technical, and business knowledge.
• Documents modeling assumptions, methodology, code, and analytical results clearly.
• Participates in model reviews, code reviews, and technical discussions with data science peers.

Skills

Python

Statistical modeling

Machine learning concepts

Communication

Independent work

Education

Graduate degree in STEM

Tools

SQL

Git

GitLab

AWS

Azure

Databricks

Job description

Kemper Insurance offers a collaborative, high‑performing culture with strong opportunities for personal development and a healthy work‑life balance. As a Data Scientist on the Kemper Auto Data Science team, you will build and refine analytical solutions to drive Kemper's competitive advantage, with a focus on updating existing models where appropriate. This hybrid role can be based in Dallas, TX, with remote options for non‑local candidates, and may operate from the Richards, TX or Alpharetta, GA offices. The salary range is USD 93,300 to 155,200 per year, and the role includes an annual discretionary bonus along with medical, dental, and vision coverage, PTO, and a 401k plan. Sponsorship is not available for this role.

Responsibilities

• Independently designs and develops statistical models and analytical solutions.
• Develops and automates analytical processes that can be deployed throughout the organization to solve recurring analytics needs.
• Communicates project progress and challenges to the working team.
• Develops database, technical, and business knowledge.
• Documents modeling assumptions, methodology, code, and analytical results clearly and consistently.
• Participates in model reviews, code reviews, and technical discussions with data science peers.

Requirements

• Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience working in a data science/analytics environment.
• Strong proficiency in Python, including experience with 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 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.

Technologies

• Python, pandas, NumPy, scikit‑learn, SciPy
• SQL
• Git, GitLab
• AWS, Azure, Databricks

Benefits

• Annual discretionary bonus
• Medical
• Dental
• Vision
• PTO
• 401k

Details

• 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 candidate.
• The salary range for this position is USD 93,300 to 155,200 per year; this job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)