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# Sr. Associate Data Scientist

- **Company:** Farmers Insurance
- **Location:** Warwick, RI, United States (Remote available)
- **Experience:** Expert
- **Salary:** $122,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, ArcGIS (Software), Big Data, Computer Programming, Data Infrastructure, Extract Transform Load (ETL), Data Mining, R (Programming Language), SPSS (Software), Python (Programming Language), Machine Learning, SAS (Software), SQL Databases, Data Processing, Data Management, Machine Learning Operations
- **Published:** June 12, 2026
- **Apply:** https://jobs.farmersinsurance.com/job/Warwick-Sr_-Associate-Data-Scientist-RI-02818/1363559457/

## About the Role

Position requires a Master's degree, or foreign equivalent, in Statistics, or a closely related field of study, plus 2 years of experience in the job offered, or as a Predictive Analyst, Research Consultant, Business Analyst, or similar position applying analytics and modeling techniques to improve business results. Must have 2 years of experience with each of the following: performing descriptive data analysis, statistical analysis, predictive modeling, and data processing; performing descriptive, statistical and predictive data analysis to address real business problems; implementing new programs and initiatives, using SQL, SAS, Python, and R; processing large datasets from different sources for reporting; and working with the following software: Tower Watson Emblem, ArcGIS, and IBM SPSS Modeler. Option to work remotely from anywhere in the U.S.

## Description

Farmers Group (Warwick, RI) seeks a Sr. Associate Data Scientist to use working knowledge and experience to apply analytics and modeling techniques to improve business results and perform routine assignments and leverage customer information and behavioral data to influence strategic business decisions while using analytics, multi-variate models, machine learning and data mining technologies. Specific duties include: execute on standard business challenges involving data science; succeed in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines; execute on routine projects with a sense of urgency; utilize conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work; utilize basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good
technical skills; partner closely with IT, business, and data management/engineering teams to understand, utilize, and improve data infrastructure. Advise on general matters and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture; contribute to development of presentations and present to leadership; communicate complex technical material understandable to non-technical associates; execute basic to intermediate model deployments via established MLOps techniques; and work with analytics and IT teams to deploy models/rules. Option to work remotely from anywhere in the U.S.


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