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# FBS (Mexico) - Data Scientist

- **Company:** Farmers Insurance
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Cloud Engineering, Software Documentation, Information Engineering, Data Mining, Github, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Microsoft Office, SQL Databases, Supervised Learning, Sql Optimization, Information Technology, Data Analytics, Machine Learning Operations, Software Version Control, Databricks
- **Published:** November 11, 2026
- **Apply:** https://jobs.farmersinsurance.com/talentcommunity/apply/1377197257/?locale=en_US

## About the Role

The ideal candidate combines strong technical expertise in machine learning, statistics, Python, and SQL with the ability to communicate insights to non-technical audiences and influence business outcomes., * Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field.

 * 3+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.
 * Experience with:

 * Python (4-6 years preferred)
 * Advanced SQL (7+ years preferred)
 * GitHub (1-3 years preferred)
 * Microsoft Office Suite (7+ years preferred)
 * Databricks exposure (1-3 years preferred)

 * Intermediate experience with Machine Learning.
 * Intermediate experience with Statistical Analysis, Hypothesis Testing, and Descriptive Statistics.
 * Experience developing and translating analytical solutions into business outcomes.
 * Fluent English communication skills., * Master's degree in Data Science, Statistics, Mathematics, Analytics, or related field.
 * Experience within P&C Insurance, Banking, Financial Services, or similar highly regulated industries.
 * Experience supporting customer service operations or call center environments.
 * Experience with call routing optimization, workforce optimization, or contact center analytics.
 * Exposure to Databricks and modern cloud-based analytics platforms.
 * Knowledge of ML Ops, GitHub, and model deployment lifecycle management.
 * Experience with developing classification and other supervised learning models.

## Description

The Data Scientist will be responsible for developing predictive models, advanced analytics solutions, and actionable insights that support strategic decision-making across Customer & Agent Solutions (CAS). This role partners closely with business stakeholders to identify opportunities, solve complex business problems, and drive measurable improvements in customer retention, agent experience, operational efficiency, and overall business performance., * Develop and deploy predictive and prescriptive analytics models to support customer and agent-related business initiatives.

 * Apply machine learning, statistical analysis, and data mining techniques to solve complex business problems.
 * Analyze large datasets to uncover trends, opportunities, and actionable recommendations.
 * Design, build, and maintain scalable, production-ready analytical solutions.
 * Partner with business stakeholders to translate business objectives into analytical approaches and success metrics.
 * Collaborate with Data Engineering, IT, and Analytics teams on model deployment and optimization.
 * Utilize ML Ops best practices, version control, and code documentation standards.
 * Present findings and recommendations to technical and non-technical audiences.
 * Support business areas focused on customer retention, servicing, operational performance, lead optimization, and agent effectiveness.
 * Mentor junior team members and contribute to analytics best practices.