Data Scientist

Auto-Owners Insurance; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

matched 401(k)

pension plan (fully-funded)

bonus programs

gym cost reimbursement

generous paid time off

Job summary

Auto-Owners Insurance seeks a data scientist to join our analytics teams in Lansing, MI with potential home-office flexibility up to 3 days per week. The role requires building and evaluating models on large data sets, collaborating with software developers and business leaders, and documenting methods for governance and reuse.

The ideal candidate has a Master’s in a quantitative field, strong SQL and ML toolkit experience, and 2–4 years of relevant experience; PhD is a plus, insurance industry

Qualifications

• Master’s degree in a quantitative discipline.
• Proficiency in SQL or other data querying language.
• Understanding of statistical and machine learning techniques including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning.
• Experience with common data science toolkits such as R, Python, TensorFlow, SQL, Scikit-learn, Keras.
• Aptitude and willingness to learn new things and teach others.
• Strong written and oral communication skills.
• 2-4 years of professional experience building models with large data sets.
• (Preferred) PhD in a quantitative discipline.
• (Preferred) Experience in the insurance industry.

Responsibilities

• 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.

Skills

SQL

R

Python

TensorFlow

Scikit-learn

Keras

Machine learning

Statistical analysis

Education

Master’s degree in quantitative field

PhD (preferred)

Tools

TensorFlow

Scikit-learn

Keras

Job 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

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

• 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

This specific role could have the flexibility to work from home up to 3 days per week. All candidates must have the ability to work in our home office in Lansing, Michigan from time to time.

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.
• Aptitude and willingness to learn new things and teach others
• Strong written and oral communication skills
• 2-4 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”.
• (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.

• 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, and opportunities for advancement and lateral movement to help you progress through your career.

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.

About the Company

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.