Staff Data Scientist: Personalization & Decision Science

State Farm; Bloomington (IL); Hybrid; USD 160,000 - 220,000; Full time

Benefits offered by this job

Healthcare premium coverage

Vision and dental coverage

Tuition assistance / educational perks

Parental leave and holidays

401(k) with company match up to 7%

Employee assistance program

Job summary

State Farm is seeking a Staff Data Scientist to lead modeling and decision science for personalized engagement across acquisition, service, and retention journeys. Hybrid role focusing on building models and taking them through experimentation and engineering workflows to drive measurable outcomes.

Minimum qualifications include 8+ years in statistical modeling or ML, with advanced Python/SQL skills and Databricks experience. Competitive compensation and comprehensive benefits are offered.

Qualifications

• 8+ years applying statistical modeling, ML, experimentation or decision science to business problems.
• Ability to translate questions into analytical approaches and production-ready models.
• Strong communication to explain concepts to technical and executive audiences.

Responsibilities

• Lead modeling and decision science for personalized engagement across journeys.
• Develop propensity, churn, lifetime value and other decision models.
• Translate signals into scalable features and decisioning approaches.
• Collaborate with engineering/product to productionize models and services.
• Mentor talent and establish reusable standards for precision engagement.

Skills

Statistical modeling

Machine learning

Experimentation

Decision science

Education

Bachelor’s degree in a related field

Advanced degree preferred

Tools

Databricks

Python

SQL

Job description

State Farm is seeking a Staff Data Scientist to lead modeling and decision science for personalized engagement across acquisition, service, and retention journeys. Hybrid role focusing on building models and taking them through experimentation and engineering workflows to drive measurable outcomes.

Minimum qualifications include 8+ years in statistical modeling or ML, with advanced Python/SQL skills and Databricks experience. Competitive compensation and comprehensive benefits are offered.