Job TitleNavy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.This position is part of the Branch Operations Insights and Analytics team and supports market intelligence and branch growth strategy.
The role applies advanced analytics to better understand market opportunities, membership growth, product adoption, and member engagement.ResponsibilitiesDesign, develop, and evaluate moderately complex predictive models and advanced algorithms to support market intelligence and branch growth strategyApply statistical analysis, machine learning, forecasting, and trend analysis to identify patterns and generate meaningful business insightsAnalyze member, demographic, geographic, financial, and behavioral data to assess market opportunity and understand the drivers of membership growth, product adoption, and engagement.Develop models and analytical frameworks to forecast growth, estimate market potential, and support strategic planning.Identifies meaningful insights from large data and metadata sourcesTest hypotheses/models, analyze, and interpret resultsExercise sound judgment and discretion within defined procedures and practicesDevelop and code moderately complex software programs, algorithms, and automated processesUse modeling and trend analysis to analyze data and provide insightsDevelop understanding of best practices and ethical AITransform data into charts, tables, or format that aids effective decision makingBuild working relationships with team members and subject matter expertsLead small projects and initiativesUtilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholdersDevelop predictive models and analytical frameworks to forecast membership growth, product adoption, and market potentialAnalyze member, demographic, geographic, and behavioral data to identify market opportunities and inform branch growth strategyCollaborate with business and geospatial partners to translate analytical findings into insights and recommendationsQualificationsBachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields3-5 years of experience in exploratory data analysisBasic understanding of business and operating environmentStatisticsProgramming, data modeling, simulation, and advanced mathematicsExperience using SQL to extract, manipulate, and analyze data.Proficiency in Python and/or R for data analysis and modelingExperience using Databricks to prepare and analyze large datasetsExperience using data visualization tools to communicate insights and support decision-makingModel lifecycle executionTechnical writingData storytelling and technical presentation skillsResearch SkillsInterpersonal SkillsWorking knowledge of procedures, instructions, and validation techniquesModel DevelopmentCommunicationCritical ThinkingCollaborate and Build RelationshipsInitiative with sound judgementTechnical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)Sound JudgmentProblem Solving (Responds as problems and issues are identified)Desired QualificationsMaster's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or EngineeringExperience with Alteryx and/or ArcGISExperience with market intelligence, forecasting, member or customer analytics, or growth modelingExperience incorporating spatial, geographic, or demographic data into analyses or predictive modelsAdditional InformationHours:Monday - Friday, 8:00AM - 4:30PMLocation:820 Follin Lane, Vienna, VA Heritage Oaks Drive, Pensacola, FL 32526Job InfoJob Identification 33296Job Category Data ScientistPosting Date 11/02/2026, 09:10 PMApply Before 11/17/2026, 04:59 AMJob Schedule Full timeTargeted Salary Range $100,400 - $157,400 annually
Senior Data Scientist in pensacola at Unknown Company
This position is listed as full time and onsite.