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Experienced Data Scientist

Lansing, MI💼 Full-time🗓 2026-03-17 → 2026-07-31

Core

Design, develop, validate, and deploy statistical and machine learning models to address complex business needs and comply with regulatory requirements in the insurance sector.

Role type

Senior IC data scientist (insurance analytics)

Builds

Production ML models and analytical workflows for an insurance carrier

Domain

Insurance / Actuarial analytics

Deliverable

production ML models

Required skills

Statistical modeling, machine learning (classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning), SQL, Python, R, TensorFlow, Scikit-learn, Keras, end-to-end model lifecycle management, model monitoring and optimization

Preferred skills

Cloud environment deployment (AWS), mentoring, PhD in quantitative discipline, insurance industry experience

Technologies

SQL, Python, R, TensorFlow, Scikit-learn, Keras, AWS

Responsibilities

Lead design and deployment of ML models, conduct ad-hoc analysis and present results to stakeholders, design and prototype new problem-solving approaches, create model documentation, monitor model performance and implement iterative improvements

Seniority

Senior, hands-on IC

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