✦ Luna Orbit — Data & Analytics

Lead Data Scientist

at State Farm Insurance

📍 Bloomington, Illinois, United States Hybrid 💰 $107K – $142K USD / year Posted March 27, 2026
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Position Details

Salary $107K – $142K USD / year
Type Not Specified
Experience lead
Exp. Years Not specified
Education Not specified
Category Data & Analytics

About this role

This role involves leading data science initiatives, mentoring interns, and developing AI/ML models to support insurance analytics at State Farm.

Key Responsibilities

  • Mentor interns
  • Develop AI/ML models
  • Create educational materials
  • Lead data science projects
  • Collaborate with teams

Technical Overview

The technical environment includes Python, data modeling, graphical analysis tools, and AI/ML frameworks, with a focus on mentoring and educational content development.

Ideal Candidate

The ideal candidate is a lead data scientist with expertise in AI and machine learning, proficient in Python, with experience mentoring interns and developing educational materials for data science projects.

Must-Have Skills

Data ScienceAIMLPython

Nice-to-Have Skills

educational materials developmentmentoring internsproject scopinginterpersonal skills

Tools & Platforms

Pythongraphical analysis toolsdata modeling tools

Required Skills

Data ScienceAIMLPythongraphical analysismodelingmentoringeducational materials

Hard Skills

Data ScienceAIMLPythonGraphical outputsModelingData analysisMentoringEducational materials

Soft Skills

leadershipmentoringcommunicationcollaborationproblem-solving

Industry & Role

Industry Insurance
Job Function Lead data science and mentoring for AI/ML initiatives
Role Subtype Data Scientist Lead
Tech Domains Python, Data Science, AI, Machine Learning

Clearance & Visa

Clearance Required None
Visa Sponsorship No

Keywords for Your Resume

data scientistaimachine learningpythondata analysismodelingmentoringeducational materialsleadershipdata science internshipAI/MLdata analysis toolsgraphical outputsmodel developmentChampaign IL

Deal Breakers

No experience with AI or ML, Lack of Python skills, No leadership or mentoring experience, Unable to work in a hybrid environment

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