Senior Data Scientist

Navy Federal
Pensacola, FL
On-site

Who this role is best for

Data scientists with marketing experience and strong stakeholder collaboration skills will find this role in financial services and consumer loans.

Best fit for

  • Candidates with marketing experience and campaign analysis expertise in financial services
    — “Experience with leading end-to-end campaign analysis”
  • Individuals skilled in rule-based modeling and data visualization for stakeholder strategy
    — “Design, develop, and evaluate moderately complex rule-based models and advanced algorithms”
  • Professionals with 3-5 years in exploratory data analysis and a focus on business KPIs
    — “3-5 years of experience in exploratory data analysis”

Things to consider

  • No visa sponsorship available, requiring US work authorization for consideration
    — “Applicants must be authorized to work in the United States without the need for current or future sponsorship”
  • The role is based in Pensacola, FL, with a specific office location provided
    — “Location: 820 Follin Lane, Vienna, VA 221805510 Heritage Oaks Drive, Pensacola, FL 32526”

How to stand out

  • Emphasize skills in rule-based modeling and predictive analytics for financial products
    — “Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization”
  • Showcase ability to translate complex data into actionable strategies for executives
    — “Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders and executives”
  • Demonstrate proficiency in data visualization with Power BI, Excel, and Tableau
    — “Versed in data visualization with Power BI, Excel and Tableau”
  • Demonstrate understanding of campaign performance trends and KPIs
    — “Experienced in the nuances that come with working with stakeholders and extracting core KPIs needed to deliver an informed analysis”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed and implemented data-driven models
  • improved business processes through data analysis
  • presented findings to executive stakeholders
Typical background
Master's or PhD in Data Science, Statistics, Mathematics, Computer Science

Skills & requirements

Required

Data ScienceMachine LearningStatistical AnalysisData VisualizationPythonRSQLHadoopAWSPower BITableauModel Lifecycle ExecutionTechnical WritingData StorytellingTechnical Presentation

Preferred

Marketing ExperienceTrend AnalysisStakeholder ManagementJSTD Certification

Stack & domain

PythonRSQLHadoopSASSPSSScalaAWSPower BIExcelTableauLeadershipCommunicationCollaborate And Build RelationshipsInitiative With Sound JudgementProblem SolvingFinance

About the role

Original posting from Navy Federal

Navy 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 team supports consumer loans to include mortgage, auto, personal and student loan campaigns and initiatives in addition to the building of rule-based models to provide insights to our members.

Design, develop, and evaluate moderately complex rule-based models and advanced algorithms Support the assigned value stream as the lead analyst for all assigned campaignsIdentifies meaningful insights from large data and metadata sources to help shape stakeholder strategy and provide data-driven recommendationsTest 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 various sized projects and initiatives from kickoff to handoffUtilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders and executives

Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields3-5 years of experience in exploratory data analysisVersed in data visualization with Power BI, Excel and Tableau Marketing experienceExperience with leading end-to-end campaign analysis and experience with trend analysisExperienced in the nuances that come with working with stakeholders and extracting core KPIs needed to deliver an informed analysis to help shape business decisionsFoundational understanding on data trends that can influence future campaign performanceBasic understanding of business and operating environmentStatistics Programming, data modeling, simulation, and advanced mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWSModel lifecycle executionTechnical writingData storytelling and technical presentation skillsAbility to manage stakeholders Research 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 Qualifications

Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or EngineeringFamiliar with reporting and analysis leveraging MTA (multi-touch attribution) and LTA (last touch attribution) 

Additional Information

Hours:

Monday - Friday, 8:00AM - 4:30PM 

Location:

820 Follin Lane, Vienna, VA 221805510 Heritage Oaks Drive, Pensacola, FL 32526

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

FORTUNE 100 Best Companies to Work For® 2025

Yello and WayUp Top 100 Internship Programs

Computerworld® Best Places to Work in IT

Newsweek Most Loved Workplaces

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Newsweek Most Trustworthy Companies in America

Military Times 2025 Best for Vets Employers

Best Companies for Latinos to Work for 2025

Forbes® 2025 America’s Best Large Employers

Forbes® 2025 America's Best Employers for New Grads

Forbes® 2025 America's Best Employers for Tech Workers

2025 RippleMatch Campus Forward Award Winner for Overall Excellence 

Military.com Top Military Spouse Employers 2025 

2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Source: Navy Federal careers

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