Senior Data Scientist

Navy Federal Credit Union

. Design, develop, and evaluate moderately complex predictive models and advanced algorithms .

Posted 9/18/2026full-timePensacola • Florida • United StatesSenior💰 $99,400 - $155,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, data analysis, and algorithm development, with a strong foundation in statistics and programming languages such as SQL, R, and Python. Capable of transforming complex data into actionable insights and effectively communicating findings to diverse stakeholders.

Highest-signal resume keywords

Predictive ModelingData AnalysisSQLRPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelsAdvanced AlgorithmsData ModelingStatistical AnalysisModel DevelopmentBig Data AnalysisTechnical WritingData StorytellingResearch SkillsProject Management

Soft Skills

Critical ThinkingProblem-SolvingInitiativeSound JudgmentCollaboration

Tools & Technologies

HadoopSASSPSSAWSScala

Industry Keywords

Exploratory Data AnalysisModel Lifecycle ExecutionEthical AIData VisualizationBusiness Environment

Tech Stack

Tools & technologies

AWSHadoopPythonScalaSQL

About the role

Key responsibilities & impact

Design, develop, and evaluate moderately complex predictive models and advanced algorithms
Identify meaningful insights from large data and metadata sources
Test hypotheses and models; analyze and interpret results
Exercise sound judgment and discretion within defined procedures and practices
Develop and code moderately complex software programs, algorithms, and automated processes
Use modeling and trend analysis to analyze data and provide insights
Develop understanding of best practices and ethical AI
Transform data into charts, tables, or formats that aid effective decision-making
Build working relationships with team members and subject matter experts
Lead small projects and initiatives
Document and present analytical findings to a diverse audience of stakeholders

Requirements

What you’ll need

Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Knowledge of statistics
Programming, data modeling, simulation, and advanced mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research skills
Working knowledge of procedures, instructions, and validation techniques
Model development
Critical thinking
Initiative with sound judgment
Big data analysis, coding, project management, and technical writing
Problem-solving
Must be authorized to work in the United States without current or future sponsorship
Master's/PhD degree is desired, not required

Benefits

Comp & perks

Highly competitive pay
Generous benefits and perks