Manager, Research and Development

GEICO

GEICO research manager developing statistical models and analytics for auto insurance. Leading analysts, data analysis, predictive modeling, and business recommendations.

Posted 9/2/2026full-timeBeachwood • Ohio • 🇺🇸 United StatesSeniorLead💰 $110,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in statistical methods, data analysis, and predictive modeling, with a strong foundation in programming languages such as R and SQL. Capable of managing teams, overseeing data processing, and providing insights to drive business decisions.

Highest-signal resume keywords

Statistical ModelingR Programming LanguageSAS SQLData AnalysisCloud Databases

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical MethodsData Sampling TechniquesPredictive ModelingData Mining MethodsExcel VLOOKUPPivot TablesGraphingData ProcessingBusiness AnalysisProject Management

Soft Skills

Team LeadershipCommunicationProblem SolvingCounselingPerformance Management

Tools & Technologies

Cloud DatabasesStatistical SoftwareData Visualization ToolsBusiness Intelligence Tools

Industry Keywords

Insurance Rating ProductsClaimsUnderwritingMarketingAgent Functions

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Develop statistical methods and procedures to ensure data validity, applicability, efficiency, and accuracy
Design and develop data sampling techniques and statistical methods to solve business and technical problems
Address business user needs and answer business and research questions
Determine whether statistical methods are appropriate based on user needs or research questions
Develop and manage software applications or programming for statistical modeling and graphic analysis
Manage analysts updating predictive models, reports, and data pulls
Consult on creation of new models, reports, and data pulls
Draw insights and make recommendations based on assigned analyses and team projects
Serve as a subject matter expert in multiple areas
Advance modeling techniques and available hardware/software big data solutions
Respond to ad-hoc requests
Prepare department business plans, staffing projections, and budgets
Requisition supplies and materials and review budgets for cost reduction
Interview and/or approve job applicants
Conduct and/or review performance appraisals
Initiate or approve salary adjustments, performance ratings, and personnel changes
Counsel associates and take disciplinary action or terminate employment as appropriate
Supervise and instruct workers on data collection, processing, tabulation, and statistical data interpretation
Manage large amounts of data processing for statistical modeling and graphic analysis using computers

Requirements

What you’ll need

Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research, or a related quantitative and analytics field, plus seven (7) years of experience in the job offered or related occupation
Master’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research, or a related quantitative and analytics field, plus five (5) years of experience in the job offered or related occupation
Experience with SAS SQL
Experience with cloud databases
Experience with R programming language
Experience with Excel VLOOKUP, pivot tables, charts, and graphing
Experience analyzing data using statistical, mathematical, or data mining methods
Experience with insurance rating products and principles
Experience with Claims, Underwriting, Marketing, or Agent functions
Experience with process control and project management
May require pre-hire technical screen
Must be able to report to the local office

Benefits

Comp & perks

Personalized development programs
Mentorship
Certification assistance
Inclusive and collaborative culture
Competitive pay
Benefits to support well-being and future
Flexible work arrangements
Hybrid schedule: 3 days in-office and 2 days remote