Staff Data Scientist - Databricks

State Farm • Dunwoody, GA

2d • Hybrid

About The Position

State Farm is hiring a Staff Data Scientist for its Digital Growth Engine, a multidisciplinary organization focused on trusted data, disciplined experimentation, intelligent decisioning, and scalable technology. The role leads modeling and decision science for personalized, coordinated engagement across customer acquisition, service, and retention journeys. It is a hybrid position assigned to a facility in Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; or Tempe, Arizona. For Enterprise Technology, hybrid work requires approximately 40% in-office time each month beginning in late 2027. Applicants must be eligible to work lawfully in the United States immediately; State Farm will not sponsor work authorization for this opportunity.

Requirements

• Bachelor's degree in data science, statistics, computer science, economics, engineering, mathematics, or a related quantitative field.
• At least 8 years of experience applying statistical modeling, machine learning, experimentation, or decision science to complex business problems.
• Advanced proficiency in Python and SQL.
• Experience with modern cloud data and machine learning environments such as Databricks or comparable platforms.
• Ability to translate ambiguous business questions into analytical approaches, production-ready models, and measurable outcomes.
• Strong communication skills, including explaining technical concepts, assumptions, limitations, and recommendations to technical and executive audiences.

Nice To Haves

• Advanced degree.
• Experience 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.
• Success working in cross-functional product or pod-based operating models and moving work from insight to implementation.
• Bias toward measurable outcomes, reusable capabilities, clear documentation, and continuous learning.

Responsibilities

• Lead modeling and decision science for personalized engagement across acquisition, service, and retention journeys.
• Develop propensity, churn, lifetime value, next-best-action, recommendation, prioritization, and other decision models.
• 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.

Benefits

• Potential yearly incentive pay up to 24% of base salary; annual raise and bonus eligibility.
• Health and wellbeing programs, with State Farm paying most of the healthcare premium; multiple medical plans, vision, dental, telemedicine, and mental health services.
• Educational benefits, including training programs, tuition assistance, employee resource groups, and mentoring.
• Fertility, IVF, and adoption assistance; college coaching; national discount programs; financial workshops and coaching.
• Time-off policies, with the opportunity to initially earn up to 20 days annually, plus parental leave, paid holidays, a celebration day, life leave, bereavement leave, and community service/education support days.
• Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund.
• 401(k) plan with company contributions of up to 7% of salary and access to free financial advisors.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior