Data Scientist

Farmers Insurance

. Apply advanced analytics and modeling to improve business results .

Posted 10/5/2026full-timeUnited StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, statistical modeling, and machine learning to drive strategic business decisions. Proficient in project management, mentoring junior team members, and communicating complex data insights to diverse audiences.

Highest-signal resume keywords

Advanced AnalyticsMachine LearningData Mining TechnologiesMLOps TechniquesConsumer Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMultivariate ModelsComplex ETLData AnalysisProject ScopingCode WritingDocumentationModel DeploymentRetention ModelsLead Optimization

Soft Skills

CommunicationMentoringCoachingCollaborationPresentation Skills

Certifications & Qualifications

Master's Degree in Data ScienceMaster's Degree in StatisticsMaster's Degree in MathematicsMaster's Degree in Business Analytics

Industry Keywords

Data InfrastructureBusiness ResultsFact-Based Decision-MakingMeasures of SuccessConsumer Behavior

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Apply advanced analytics and modeling to improve business results
Leverage customer information and behavioral data to influence strategic business decisions
Use complex, innovative analytics, multivariate models, machine learning, and data mining technologies
Assist with and/or lead small projects operationalizing business decisions with limited managerial guidance
Potentially manage a team of up to two junior data scientists
Execute projects involving consumer analytics, retention models, agency economics, and lead optimization
Scope projects, define measures of success, and execute intermediate-level projects within prescribed timelines
Partner with IT, business, and data management/engineering teams to understand, use, and improve data infrastructure
Advise on fundamental concerns and support fact-based decision-making and a measures-of-success culture
Develop presentations and present to leadership
Communicate complex technical material to non-technical associates
Manage moderate model deployments using MLOps techniques
Work with analytics and IT teams to deploy models and rules across platforms and support testing of new solutions
Mentor junior data science team members and provide technical and non-technical coaching

Requirements

What you’ll need

High School Diploma or equivalent required
Minimum three years of work experience required in data analysis, statistical or mathematical modeling, or related
Working knowledge and experience applying advanced analytics and modeling
Knowledge of consumer analytics, including retention models, agency economics, and lead optimization
Moderate knowledge of advanced programming, complex ETL, and specialized modeling methods
Experience with multivariate models, machine learning, and data mining technologies
Ability to write clean, reusable code and effective documentation
Ability to scope projects, define measures of success, and execute projects within prescribed timelines
Ability to partner with IT, business, and data management/engineering teams
Ability to develop presentations and present to leadership
Ability to communicate complex technical material to non-technical associates
Knowledge of model deployments via MLOps techniques
Ability to support testing of new solutions
Ability to mentor and coach junior data science team members
Master's degree in data science, statistics, mathematics, business analytics, or related preferred

Benefits

Comp & perks

No specific benefits or compensation extras stated