Sr Marketing Science Analyst

State Farm • Dunwoody, GA

6d • Hybrid

About The Position

The Senior Marketing Science Analyst improves marketing investment decisions through advanced analytics, experimentation, and modeling. The role consults on marketing experiments and leads incrementality tests to build evidence for calibrating marketing measurement capabilities. Working with business partners, agencies, vendors, and technology teams, the analyst turns complex questions into sound analytical plans and actionable recommendations, and operates with a high degree of autonomy on complex, high-impact assignments.

The position may be based in Bloomington, Illinois; Dunwoody, Georgia; Tempe, Arizona; or Richardson, Texas. Qualified candidates within commuting distance of a hub should expect a hybrid arrangement that includes working from home and the office. Candidates outside commuting distance may be considered for fully remote work based on their current location. Applicants must be immediately eligible to work lawfully in the United States; State Farm will not sponsor U.S. work authorization for this opportunity.

The role requires experience in a quantitative field, a solid background in statistics, and an understanding of causal identification issues. A master's degree in a related field is required. The position also calls for programming and querying proficiency, experience using and evaluating AI-assisted development tools, and the ability to translate business questions into clear analytical specifications. Relevant experience with marketing incrementality, attribution, cloud platforms, responsible AI, or cross-functional leadership is preferred.

Requirements

• Experience in marketing analytics, marketing science, data science, experimentation, or another quantitative field.
• Solid background in statistics and understanding of causal identification issues.
• Ability to analyze complex data, collaborate across teams, and explain methods, assumptions, and results to varied audiences.
• Proficiency in SQL, Python, R, SAS, or comparable programming and querying languages.
• Experience using AI-assisted development tools such as Claude Code, Codex, Copilot, or similar tools for analytical code, and reviewing and testing their output.
• Ability to design evaluations for models and AI-generated outputs using methods such as holdout data, labeled samples, and error analysis.
• Ability to turn business questions into clear analytical specifications, including the question, population, self-selection biases, metric, and assumptions.
• Master’s degree in a related field.

Nice To Haves

• Experience with attribution models and incrementality methods, including geo experiments, matched markets, and synthetic controls; ability to assess statistical power, test validity, and counterfactual quality.
• Experience working with marketing agencies, analytics vendors, enterprise technology, or data and AI teams.
• Experience with Databricks, AWS, GCP, or other cloud data platforms.
• Experience applying LLMs, embeddings, or similarity methods to marketing data, with measured performance.
• Knowledge of responsible AI practices, including governed-data handling and communicating model outputs.
• Experience leading complex cross-functional work or mentoring analysts.

Responsibilities

• Define analytical questions, outcomes, populations, metrics, assumptions, and test requirements with business partners.
• Guide experiment intake, prioritization, and design; advise teams on methods, feasibility, and measurement approaches.
• Design, execute, and evaluate incrementality tests that inform marketing decisions and calibrate attribution models.
• Develop and validate synthetic controls and other counterfactuals using historical geo-level outcomes, media activity, and market conditions.
• Apply statistical modeling and causal inference to assess marketing performance, estimate lift, and inform investment choices.
• Partner with internal teams and external vendors to validate methods and outputs, explain limitations, and translate evidence into recommendations.
• Identify opportunities to improve analytical practices and responsibly apply AI.
• Lead strategic work and mentor other analysts.

Benefits

• Annual raise and bonus; potential yearly incentive pay up to 15% of base salary.
• Health and wellbeing programs, with State Farm paying most of the healthcare premium; multiple medical plan options, in-network preventive care coverage, vision, dental, telemedicine, and mental health services.
• Training programs, tuition assistance, employee resource groups, and mentoring.
• Fertility, IVF, and adoption assistance; college coaching; national discount programs; financial workshops and coaching.
• Paid time off, parental leave, paid holidays, 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.
• Annual merit increase.
• Health initiatives.

What This Job Offers

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