Listed on Auto-Owners Insurance’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the development and deployment of statistical and machine learning models to solve complex insurance business problems, requiring deep expertise in data science techniques and large-scale data handling. It suits experienced data scientists who want to mentor others and influence decision-making across a large organization.
Our summary, not Auto-Owners Insurance’s wording. The full posting is on their site.
Skills this role names
- Decision Trees
- Deep Learning
- Feature Engineering
- Keras
- Logistic Regression
- Machine Learning
- Python
- R
- scikit-learn
- SQL
- Statistical Modeling
- TensorFlow
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What they ask for
Required
- Master's degree in a quantitative discipline
- 5+ years of professional experience building models with large datasets
- Proficiency in SQL or other data querying language
- Understanding of statistical and machine learning techniques
- Experience with data science toolkits such as R, Python, TensorFlow, or Scikit-learn
- Demonstrated experience owning end-to-end model lifecycle including validation and monitoring
- Ability to work in Lansing, Michigan office twice per week
Nice to have
- PhD in a quantitative discipline
- Experience developing and deploying analytics solutions in AWS or other cloud environments
- Experience mentoring junior data scientists or leading analytical workflows
- Insurance industry experience