Decision Scientist

Farmers Insurance•East Grand Rapids, MI

2d•$96,075 - $182,625•Hybrid

About The Position

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.

Requirements

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.
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

Experience in insurance industry preferred.
Insurance, financial services, risk management, or highly regulated industry experience preferred.

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.