Hybrid Data Scientist — Insurance Analytics & ML

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

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