Decision Scientist

Summary

Farmers Insurance provides insurance products and services focused on delivering peace of mind to its customers. The Decision Scientist provides analytical support across the organization by analyzing complex data, developing data-driven insights, and supporting strategic decision-making. The role partners with cross-functional teams, communicates findings to business leaders, and helps improve efficiency, growth, customer experience, and profitability.

Responsibilities

• Apply moderately advanced statistical, mathematical, and analytical techniques to solve medium-to-large-scale business problems impacting current and future business strategies
• Build descriptive and explanatory models or leverage outputs from predictive and machine learning models developed by others
• Analyze large and complex datasets to identify trends, patterns, risks, and business opportunities
• Utilize data visualization tools and advanced analytical methods, including: Distribution analysis, Correlation analysis, Outlier detection, Multivariate analysis, Time-series analysis, Machine learning techniques
• Conduct exploratory data analysis (EDA), test hypotheses, and validate findings with business stakeholders
• Partner with cross-functional teams to understand business objectives and develop data-driven solutions
• Collect, integrate, and transform data from multiple sources into cohesive datasets for analysis
• Evaluate data quality and apply data governance and hygiene practices to ensure reliability and accuracy
• Perform quality-control checks, document processes, and collaborate with peers on data validation efforts
• Work closely with IT, Data Engineering, Data Science, and other technical teams to optimize data pipelines and resolve data quality issues
• Support the deployment, monitoring, and maintenance of predictive models within business workflows
• Translate complex analyses into clear, actionable insights and recommendations for business leaders
• Utilize effective storytelling and visualization techniques to make analytical findings accessible and impactful
• Stay current on emerging data science methodologies, technologies, and industry best practices
• Contribute to a culture of continuous learning and knowledge sharing
• Provide informal coaching or mentorship to less experienced team members as needed
• Perform other duties as assigned
• Establish strong partnerships with business stakeholders and become a trusted analytics advisor for key initiatives
• Deliver actionable insights through advanced analytics, statistical modeling, and data visualization that support business decisions
• Lead medium-to-large analytical projects that drive measurable improvements in efficiency, growth, customer experience, or profitability
• Ensure data accuracy, integrity, and governance through rigorous validation, documentation, and quality control practices
• Identify emerging trends and opportunities, translating complex data into clear recommendations that influence leadership decisions

Skills

• High School Diploma or equivalent required
• Minimum of three years of work experience required in data analysis, statistical or mathematical modeling, or related
• Demonstrated experience translating ambiguous business questions into analytical frameworks, actionable insights, and data-driven recommendations
• Proficiency with analytical and visualization tools such as SQL, Python, R, SAS, Tableau, Power BI, or similar technologies
• Experience designing, conducting, and evaluating experiments, forecasts, scenario analyses, or predictive models to influence business outcomes and strategic decision-making
• Strong understanding of statistical methods, hypothesis testing, regression analysis, segmentation, forecasting, and performance measurement techniques
• Proven ability to communicate complex analytical findings to executive and non-technical audiences, influencing decisions through clear storytelling and business acumen
• Bachelor's degree preferred in data science, statistics, mathematics, business analytics or similar
• Experience in insurance industry preferred
• Insurance, financial services, risk management, or highly regulated industry experience preferred

Qualifications

Must Haves

• High School Diploma or equivalent required
• Minimum of three years of work experience required in data analysis, statistical or mathematical modeling, or related
• Demonstrated experience translating ambiguous business questions into analytical frameworks, actionable insights, and data-driven recommendations
• Proficiency with analytical and visualization tools such as SQL, Python, R, SAS, Tableau, Power BI, or similar technologies
• Experience designing, conducting, and evaluating experiments, forecasts, scenario analyses, or predictive models to influence business outcomes and strategic decision-making
• Strong understanding of statistical methods, hypothesis testing, regression analysis, segmentation, forecasting, and performance measurement techniques
• Proven ability to communicate complex analytical findings to executive and non-technical audiences, influencing decisions through clear storytelling and business acumen

Nice to Haves

• Bachelor's degree preferred in data science, statistics, mathematics, business analytics or similar
• Experience in insurance industry preferred
• Insurance, financial services, risk management, or highly regulated industry experience preferred

Benefits

• Bonus Opportunity (based on Company and Individual Performance)
• 401(k)
• Medical
• Dental
• Vision
• Health Savings and Flexible Spending Accounts
• Life Insurance
• Paid Time Off
• Paid Parental Leave
• Tuition Assistance
• Flexible work arrangements, including hybrid work with at least three days in the office and up to two days virtual for employees who live within fifty miles of a Farmers corporate office
• Meaningful volunteer projects