Remote - Data Scientist - Model Validator

State Farm Mutual Automobile Insurance Company

State Farm Mutual Automobile Insurance Company is inviting Data Scientists to join their team, contributing to AI and ML solutions across the organization. The role is vital in partnerships with business areas, fostering the development and adoption of data science innovations. The ET-AISE department offers data science consulting to improve enterprise results, expand analytic skills, and enhance communication capabilities.

In this role you can expect to have the responsibilities:

• Develop and validate advanced analytic models and designed experiments
• Build datasets to support AI/ML solutions
• Collaborate on projects and decision-making processes
• Present technical topics to stakeholders
• Mentor colleagues and support technical teams
• Recommend data collection and integration strategies
• Review and validate peer model development
• Build connections with associates with domain expertise
• Deliver business outcomes for AI/ML projects
• Assess model performance and make updates as necessary

This role comes with the following benefits:

• Competitive salary with annual raise and bonus eligibility
• Comprehensive health programs with premium coverage
• Tuition assistance and professional growth opportunities
• Fertility and adoption assistance, financial planning support
• Generous time-off policies and community support days
• Retirement planning with 401(k) and company contributions

This role requires you to have:

• Masters or advanced degree
• 3+ years of predictive model building experience
• Proficiency in Python, R, or SAS
• Experience in quantitative analysis
• Familiarity with AWS and Linux
• Understanding of generalized linear models
• Knowledge of time series, clustering, or neural networks
• Strong communication and problem-solving skills

You would benefit from having:

Applicants must be eligible to work in the U.S. without sponsorship. State Farm promotes a work-life balance with a standard 38:45-hour work week and potential remote work arrangements depending on location.