Predictive Modeler with Customer Lifetime Value Experience

Auto-Owners Insurance • Lansing, MI

35d • Hybrid

About The Position

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 and our office for this role is in Lansing, Michigan only. Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our analytics teams. The position requires the person to: Use statistical or machine learning techniques to build models that address business needs and comply with regulatory requirements Work with large, complex data sets and develop a working 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 Create clear and easy to understand documentation for models Monitor model performance and implement iterative improvements Desired Skills & Experience Bachelor’s degree (or equivalent experience) in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) Familiarity with Customer Lifetime Value frameworks Outstanding problem solving and critical thinking skills An understanding of statistical modeling or data science concepts, especially clustering, regression, and classification techniques. Aptitude and willingness to learn new things Strong communication skills and ability to work as part of a team (Preferred) Experience with demand modeling, analyzing elasticity of demand, and expense modeling. (Preferred) Proficiency with common coding languages (Python, R, SQL, etc.) (Preferred) Advanced degree in a quantitative discipline (Preferred) Professional experience building models with large data sets (Preferred) Insurance industry experience 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. #LI-DNI #IN-DNI Auto-Owners Insurance is a mutual insurance company with a simple human sense approach to business. This means we answer the phone because it's ringing, we treat people like they're people, and we believe the right way is the human way. Established in 1916 and headquartered in Lansing, Michigan, we currently operate in 26 states. We partner with independent agencies to sell our products to the communities we serve, and we are consistently acknowledged for our superior customer service. We are proud to have been ranked among the Fortune 500 every year since 2002. Find out why working here is more than just a job - apply today! Not sure what type of position you're looking for? Click the button below to send us your resume.

Requirements

• Bachelor’s degree (or equivalent experience) in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
• Familiarity with Customer Lifetime Value frameworks
• Outstanding problem solving and critical thinking skills
• An understanding of statistical modeling or data science concepts, especially clustering, regression, and classification techniques.
• Aptitude and willingness to learn new things
• Strong communication skills and ability to work as part of a team
• Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

Nice To Haves

• Experience with demand modeling, analyzing elasticity of demand, and expense modeling.
• Proficiency with common coding languages (Python, R, SQL, etc.)
• Advanced degree in a quantitative discipline
• Professional experience building models with large data sets
• Insurance industry experience

Responsibilities

• Use statistical or machine learning techniques to build models that address business needs and comply with regulatory requirements
• Work with large, complex data sets and develop a working 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
• Create clear and easy to understand documentation for models
• Monitor model performance and implement iterative improvements

Benefits

• a matched 401(k)
• fully-funded pension plan (once vested)
• bonus programs
• student loan assistance
• gym cost reimbursement
• generous paid time off including holidays, vacation days, personal time, and sick leave
• structured education & training programs
• mentoring
• opportunities for advancement and lateral movement to help you progress through your career

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level