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Senior Data Scientist (Internal Audit Product Engineering)

Navy Federal Credit Union Pensacola, FL

Pensacola, FL

Today

$99k - $156k/yr Full time Agentic Ai Ai Agent Analytics

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Job Description

Navy Federal Credit Union is seeking a Senior Data Scientist to help strengthen Internal Audit decision-making through data-driven insights and technology-enabled products. In this onsite role, you will build audit-focused data products, automate analytical workflows, and apply AI-enabled solutions across the audit lifecycle while emphasizing data governance, data quality, and responsible AI practices.

Role Overview

As a senior member of the Internal Audit Product Engineering effort, you will develop and enhance analytical capabilities used by auditors and business stakeholders. The work includes building data products and pipelines, supporting automated control testing and continuous monitoring, and translating modeling outputs into clear charts, tables, and documentation that supports stakeholder decisions.

Responsibilities

Develop, maintain, and enhance data products, data pipelines, analytical models, dashboards, and automation solutions for Internal Audit analytics
Design, build, and enhance agentic AI and workflow automation solutions using AI technologies to improve audit process efficiencies
Partner with auditors, business stakeholders, and technology teams to understand requirements and translate business challenges into scalable analytical solutions
Support automated control testing, population-based analytics, continuous monitoring, and audit automation initiatives
Use modeling and trend analysis to evaluate data and deliver insights
Apply best practices for ethical AI and support responsible AI practices
Transform data into charts, tables, or other formats that support effective decision-making
Build working relationships with team members and subject matter experts
Lead small projects and initiatives
Use effective written and verbal communication to document and present analysis findings to diverse stakeholders

Minimum Qualifications

3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Strong foundation in statistics
Experience with programming, data modeling, simulation, and advanced mathematics
Working knowledge of SQL and one or more of: R, Python, Hadoop, SAS, SPSS, Scala, AWS
Ability to execute model lifecycle work
Technical writing, data storytelling, and technical presentation skills
Research skills and interpersonal skills
Working knowledge of procedures, instructions, and validation techniques
Demonstrated communication, critical thinking, and problem-solving
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field

Preferred Qualifications

Master's/PhD degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
Experience with Alteryx, Databricks, Azure Data Lake, Microsoft Copilot Studio, Power Automate, Power Apps, and Azure AI Foundry
Experience using Python and data science libraries such as Pandas, NumPy, PySpark, Scikit-learn, or similar frameworks
Experience building dashboards and reporting solutions using Power BI or similar visualization tools
Experience managing end-to-end product and solution lifecycle, including requirements gathering, solution design, testing, UAT, deployment, and ongoing support
Knowledge of data governance, data quality controls, data lineage, and data management best practices
Experience working within audit, risk management, compliance, or financial services
Experience working in Agile product development environments and collaborating with cross-functional teams
Demonstrated curiosity and an innovation mindset, including identifying opportunities to automate manual processes

Tools and Technologies

SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, Alteryx, Databricks
Azure Data Lake, Microsoft Copilot Studio, Power Automate, Power Apps, Azure AI Foundry
Power BI, Pandas, NumPy, PySpark, Scikit-learn

Compensation and Schedule

Salary: USD 99,400 - 155,850 per year
Hours: Monday - Friday, 8:00AM - 4:30PM

Locations

820 Follin Lane, Vienna, VA 22180
5510 Heritage Oaks Drive, Pensacola, FL 32526
141 Security Drive, Winchester, VA 22602

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