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# Senior Associate Decision Scientist

- **Company:** Farmers Insurance
- **Location:** Bellevue, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $131,244.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Data Validation, Data Integrity, Data Visualization, Decision Support Systems, Generalized Linear Model, R (Programming Language), Google Earth, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Quantum GIS (QGIS), Data Management, Synthesizing Data, Data Pipelines
- **Published:** July 10, 2026
- **Apply:** https://jobs.farmersinsurance.com/talentcommunity/apply/1366196257/?locale=en_US

## About the Role

Position requires a Master's degree, or foreign equivalent, in Business Analytics, Applied Data Science, or a closely related field of study, plus 2 years of experience in the job offered, or as a Data Analyst, Data Management Analyst, Business Analyst, Research Analyst, Data Scientist, or similar position. Must have 2 years of experience working with each of the following: applying data analysis, statistical, and mathematical modeling in the Life Insurance industry or P&C Insurance industry; software including AWS, Sagemaker, S3, Python, R, QGIS, and Google Earth Pro; machine learning methods including boosting, bagging, KNN, clustering, and GAM; statistical techniques including linear models, generalized linear models, linear mixed models, time-series methods, statistical clustering, and non-parametric alternatives. Option to work remotely.

## Description

Farmers New World Life Insurance (Bellevue, WA) seeks a Senior Associate Decision Scientist to provide critical decision support across the enterprise by gathering, analyzing, and synthesizing data to address business challenges. Specific duties include: applies basic to moderately advanced mathematical, statistical, and quantitative techniques to solve medium-scale business problems that significantly impact current and future business strategies (20%); builds descriptive or explanatory models or uses the output of models created by others (3.5%); leverages interactive data visualization tools and statistical techniques such as distribution analysis, correlation analysis, outlier detection, multivariate analysis, time series, machine learning, and others to uncover hidden insights (5%); conducts basic exploratory data analysis (EDA) to uncover opportunities including testing hypotheses and validating findings with business partners (3.5%); collects data from a variety of
sources and integrates and transforms disparate datasets to create cohesive datasets for analysis (3.5%); supports data reliability by conducting quality checks, documenting data processes, and collaborating with more experienced analysts for peer review and data validation as needed (3.5%); participates in discussions with cross-functional business partners and teams to understand and collaborate on complex business objectives (3.5%); assists in influencing solution strategies and outcomes by leveraging a working knowledge of the business (3.5%); uses foundational experience in data analysis to provide insights that support decision-making (3.5%); coordinates with cross-functional technical teams including IT, data scientists, data engineers and others to ensure data integrity and optimize data pipelines (3.5%); identifies data quality issues and collaborates to resolve them (3.5%); assists deployment and monitoring of basic predictive models into workflows(3.5%); stays
informed about emerging decision and data science methodologies, tools, and best practices (3%); applies knowledge and continuous learning to improve own performance and the quality of work produced (3.5%); actively seeks feedback from more experienced team members and engages in professional development opportunities to enhance skills and contribute effectively to team objectives (3.5%); and bridges between data science analytics functions and operational RnD support ongoing development of customized software requiring work in object-oriented programming and specialized analytics functions involving applications of machine learning, spatial mapping, time-series, and associated scientific tasks (30%). Option to work remotely.


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