Predictive Modeler

Auto-Owners Insurance Company

  • Lansing, Michigan
  • 30+ days ago
  • Remote
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    Skills

    • Auto Insuranceunmatched
    • Business Modelunmatched
    • Communication Skillsunmatched
    • Compensation and Benefitsunmatched
    • Computer Scienceunmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Data Structuresunmatched
    • Documentation Modelsunmatched
    • Economicsunmatched
    • Electrical Engineeringunmatched
    • Financial Analysisunmatched
    • Insuranceunmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Metricsunmatched
    • Operations Researchunmatched
    • Performance Analysisunmatched
    • Performance Modelingunmatched
    • Physicsunmatched
    • Predictive Modelingunmatched
    • Problem Solving Skillsunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • Regulatory Requirementsunmatched
    • SQL (Structured Query Language)unmatched
    • Statistical Modelingunmatched
    • Statisticsunmatched
    • Team Playerunmatched
    • Work From Homeunmatched

    Description

    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.

    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.)
    • 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) 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

    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-BK1 #LI-Hybrid

    Numbers & Facts

    LocationLansing, Michigan (
    Remote
    )

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