FBS - Senior Decision Scientist

Farmers Insurance is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, Farmers Insurance is part of one the largest Insurance Groups in the world.

About the Role

We are looking for an experienced Senior Decision Scientist to join our team and provide critical analytical support for strategic business decisions.

In this role, you will apply advanced statistical, mathematical, and quantitative techniques to solve complex business challenges, uncover opportunities, and develop actionable recommendations that drive business performance, efficiency, growth, and profitability.

You will work with large datasets, develop and apply statistical methodologies, identify meaningful patterns, and translate complex analytical findings into clear business insights. This position requires a combination of strong technical expertise, business acumen, and the ability to independently lead analytical projects while collaborating with cross-functional teams and presenting recommendations to senior stakeholders.

What You'll Do

• Lead complex analytical projects, from understanding business challenges to developing solutions and presenting recommendations.
• Apply advanced statistical and quantitative methodologies to analyze large datasets and identify trends, patterns, correlations, and business opportunities.
• Conduct exploratory data analysis (EDA), hypothesis testing, experimental design, and causal inference to support data-driven decisions.
• Build descriptive and explanatory models or leverage outputs from predictive models to address business challenges.
• Use statistical programming languages such as Python and/or R to perform advanced data analysis.
• Extract, integrate, transform, and validate data from multiple sources to ensure accuracy and reliability.
• Partner with business stakeholders to understand strategic objectives and translate them into analytical solutions.
• Communicate complex analytical findings through data visualization, presentations, and clear business recommendations.
• Collaborate with data scientists, data engineers, IT, and other technical teams to improve data quality and analytical processes.
• Support the deployment and monitoring of predictive models within business workflows.
• Identify opportunities to improve analytical methodologies, tools, and business processes.
• Share knowledge and provide guidance or mentorship to less experienced team members when needed.