Physics Informed Machine Learning Jobs in Michigan

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

Job Description

We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.

Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan twice a week.

Auto-Owners Insurance, a top-rated insurance carrier, is seeking an experienced data scientist to join our analytics teams. The position requires the person to:

• 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

Desired Skills & Experience

• Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
• Proficiency in SQL or other data querying language
• An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
• Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
• Demonstrated experience owning 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
• 5+ years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler". Candidates with less than 5 years of experience, please use the job posting for "Data Scientist".
• (Preferred) Experience developing and deploying analytics solutions in cloud environments such as AWS
• (Preferred) PhD in a quantitative discipline
• (Preferred) Experience in the insurance industry

Compensation/Benefits

The salary offered will be commensurate with skills and experience.

We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.

Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!

Equal Employment Opportunity

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.

*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

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