Senior Data Scientist

Internal Audit Data ScientistNavy 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.Navy Federal's Internal Audit team is in the midst of an exciting transformational journey to become a best-in-class Audit function! It is our vision to be a preferred advisor to the business by building and cultivating trust through the consistent execution of high-quality and risk-focused audit and advisory work. We're focused on implementing efficient processes, maximizing our use of technology, integrating data analytics into everything we do, and investing in our biggest asset, our people. If this sounds like the type of team you'd like to be a part of, then we want to learn more about you!Provide data-driven insights and technology-enabled capabilities that support Internal Audit's strategic objectives and decision-making. Understand Internal Audit's business needs and identify opportunities to improve audit coverage, operational efficiency, and risk insights through analytics, automation, and AI. Design, develop, and maintain audit-focused data products, workflow automation, and AI-enabled capabilities that support assurance and advisory activities across the audit lifecycle. Contribute to product strategy, solution delivery, testing, deployment, and continuous improvement initiatives while promoting strong data governance, data quality, and responsible AI practices.This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.ResponsibilitiesDevelop, maintain, and enhance data products, data pipelines, analytical models, dashboards, and automation solutions to support Internal Audit analytics and decision-makingDesign, build, and enhance agentic AI and workflow automation solutions using AI technologies to drive efficiencies in audit processesPartner with auditors, business stakeholders, and technology teams to understand requirements and translate business challenges into scalable analytical solutionsSupport automated control testing, population-based analytics, continuous monitoring, and audit automation initiativesUse 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 stakeholdersQualifications3-5 years of experience in exploratory data analysisBasic understanding of business and operating environmentStatisticsProgramming, data modeling, simulation, and advanced mathematicsSQL, R, Python, Hadoop, SAS, SPSS, Scala, AWSModel 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)Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or degrees in similar quantitative fieldsDesired QualificationsMaster's/PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or EngineeringExperience with Alteryx, Databricks, Azure Data Lake, Microsoft Copilot Studio, Power Automate, Power Apps and Azure AI FoundryExperience using Python and related data science libraries such as Pandas, NumPy, PySpark, Scikit-learn, or similar frameworks for data analysis, automation, and model developmentExperience building dashboards and reporting solutions using Power BI or similar visualization toolsExperience managing the end-to-end product and solution lifecycle, including requirements gathering, solution design, testing, user acceptance testing (UAT), deployment, and ongoing supportKnowledge of data governance, data quality controls, data lineage, and data management best practicesExperience working within audit, risk management, compliance or financial servicesExperience working in Agile product development environments and collaborating with cross-functional teamsDemonstrated curiosity, innovation mindset, and ability to identify opportunities to automate manual processesAdditional InformationHours:Monday - Friday, 8:00AM - 4:30PMLocation:820 Follin Lane, Vienna, VA 221805510 Heritage Oaks Drive, Pensacola, FL 32526141 Security Drive, Winchester, VA 22602Job InfoJob Identification 31883Job Category Data ScientistPosting Date 08/14/2026, 07:27 PMApply Before 08/29/2026, 03:59 AMDegree Level No Formal EducationJob Schedule Full timeJob Shift Regular HoursTargeted Salary Range $99,400 - $155,850 annually