Partner with experimentation teams to validate model-driven interventions and distinguish predictive accuracy from incremental business impact.
Design measurement approaches for model lift, calibration, treatment effectiveness, fairness, stability, and downstream customer outcomes.
Work with engineering and product partners to productionize models and decision services in Databricks and connected activation platforms.
Guide identity, feature, and data requirements while accounting for privacy, consent, governance, and channel constraints.
Mentor technical talent and establish reusable standards for precision engagement modeling and decision science.
Qualifications
Bachelor's degree in data science, statistics, computer science, economics, engineering, mathematics, or a related quantitative field; advanced degree preferred.
8 plus years experience applying statistical modeling, machine learning, experimentation, or decision science to complex business problems.
Advanced proficiency in Python and SQL, with experience working in modern cloud data and ML environments such as Databricks or comparable platforms.
Demonstrated ability to translate ambiguous business questions into analytical approaches, production-ready models, and measurable outcomes.
Strong communication skills with the ability to explain technical concepts, assumptions, limitations, and recommendations to technical and executive audiences.
Preferred Experience
Experience working in a large, regulated enterprise and navigating privacy, security, legal, risk, and governance requirements.
Experience with digital customer journeys, insurance or financial services, growth analytics, personalization, experimentation, or marketing technology.
Demonstrated success working in cross-functional product or pod-based operating models and moving work from insight to implementation.
A bias toward measurable outcomes, reusable capabilities, clear documentation, and continuous learning.
Our Benefits
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
Potential starting salary range: $160,000 - $220,000. Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.
Potential yearly incentive pay up to 20% of base salary
At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.
Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!
Lead the modeling and decision science that powers personalized, coordinated engagement across acquisition, service, and retention journeys. This role is part of the Digital Growth Engine, a multidisciplinary organization focused on building a stronger learning advantage through trusted data, disciplined experimentation, intelligent decisioning, and scalable technology.
Develop propensity, churn, lifetime value, next-best-action, recommendation, prioritization, and other decision models that support precision engagement.
Combine behavioral, transactional, marketing, digital, and contextual signals into scalable features and decisioning approaches.
Partner with experimentation teams to validate model-driven interventions and distinguish predictive accuracy from incremental business impact.
Design measurement approaches for model lift, calibration, treatment effectiveness, fairness, stability, and downstream customer outcomes.
Work with engineering and product partners to productionize models and decision services in Databricks and connected activation platforms.
Guide identity, feature, and data requirements while accounting for privacy, consent, governance, and channel constraints.
Mentor technical talent and establish reusable standards for precision engagement modeling and decision science.
Bachelor's degree in data science, statistics, computer science, economics, engineering, mathematics, or a related quantitative field; advanced degree preferred.
8 plus years experience applying statistical modeling, machine learning, experimentation, or decision science to complex business problems.
Advanced proficiency in Python and SQL, with experience working in modern cloud data and ML environments such as Databricks or comparable platforms.
Demonstrated ability to translate ambiguous business questions into analytical approaches, production-ready models, and measurable outcomes.
Strong communication skills with the ability to explain technical concepts, assumptions, limitations, and recommendations to technical and executive audiences.
Preferred Experience
Experience working in a large, regulated enterprise and navigating privacy, security, legal, risk, and governance requirements.
Experience with digital customer journeys, insurance or financial services, growth analytics, personalization, experimentation, or marketing technology.
Demonstrated success working in cross-functional product or pod-based operating models and moving work from insight to implementation.
A bias toward measurable outcomes, reusable capabilities, clear documentation, and continuous learning.
