Decision Scientist

Decision Scientist

Farmers – where ambition meets opportunity. At Farmers, we're a team with a passion for purpose and making a real difference in people's lives. We deliver peace of mind when it matters most. Our results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn't just a goal – it's a way of life for both the organization and every individual on our team. We tackle challenges head-on, learn from every experience and measure our impact on the customers who trust us. Join an award-winning, equal opportunity employer, where you'll find more than a job – you'll find a supportive community. Enjoy competitive benefits, take part in meaningful volunteer projects, and help shape the future alongside talented colleagues across all backgrounds. At Farmers, helping others is at the heart of what we do.

Job Summary: The Decision Scientist provides critical analytical support across the organization by gathering, analyzing, and interpreting data to solve business challenges and support strategic decision-making. This role leverages moderately advanced statistical, mathematical, and quantitative techniques to identify trends, uncover insights, and develop data-driven recommendations that improve operational efficiency, drive growth, and enhance profitability. The ideal candidate is a strong analytical thinker who can work independently, collaborate with business partners across functions, and effectively communicate complex findings to technical and non-technical audiences. This role may also provide informal guidance and mentorship to less experienced team members.

Essential Tasks & Leadership Philosophy: 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.

First Year Success Factors: Within the first 12 months, a successful candidate can expect to have achieved the following: 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.

Education & Career Experience Requirements: Candidates would ideally reflect the following professional qualifications and experiences: High School Diploma or equivalent required. Bachelor's degree preferred in data science, statistics, mathematics, business analytics or similar. Equivalent work experience may be considered in place of a degree. Minimum of three years of work experience required in data analysis, statistical or mathematical modeling, or related. Experience in insurance industry preferred. 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. Insurance, financial services, risk management, or highly regulated industry experience preferred.

Benefits: Farmers offers a competitive salary commensurate with experience, qualifications and location. 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