Experienced Data Scientist

A career at Auto-Owners is challenging and rewarding. Our group of caring associates creates financial security by helping individuals and businesses make a new start when a loss occurs.

Auto-Owners Insurance is seeking an experienced data scientist to join our analytics teams. This role focuses on leading the design, development, validation, and deployment of statistical and machine learning models that address complex business needs while complying with regulatory requirements.

• Lead the design, development, validation, and deployment of statistical and machine learning models that address complex business needs and comply with regulatory requirements.
• Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements.
• Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics.
• Conduct ad‑hoc analysis and present results clearly at multiple levels of stakeholders through visual displays of quantitative information.
• Design, prototype, and implement new approaches for solving problems.
• Collaborate with a cross‑functional team, including software developers, architects, and business leaders.
• Create clear and easy to understand documentation for models.
• Monitor model performance and implement iterative improvements.

• Master’s degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering).
• 5+ years of professional experience building models with large data sets.
• Proficiency in SQL or another data‑querying language.
• Strong understanding of statistical and machine‑learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, and deep learning.
• Experience with common data‑science toolkits such as R, Python, Tensor Flow, Scikit‑learn, Keras.
• Demonstrated experience owning the end‑to‑end model lifecycle, including validation, monitoring, and performance optimization.
• Experience mentoring junior data scientists or leading analytical workflows (preferred).
• Aptitude and willingness to learn new things and teach others.
• Strong written and oral communication skills.
• Experience developing and deploying analytics solutions in cloud environments such as AWS (preferred).
• PhD in a quantitative discipline (preferred).
• Experience in the insurance industry (preferred).

The salary offered will be commensurate with skills and experience. We offer a hybrid work environment with primary work‑from‑home ability and monthly office overlap. Benefits include a matched 401(k), fully‑funded pension plan, bonus programs, student‑loan assistance, gym cost reimbursement, and generous paid time off.

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law. Ability to work in the U.S. without current or future sponsorship is required.