Hybrid Senior Data Scientist

at Navy Federal Credit Union

• Job title: Senior Data Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: $113,300 - $155,850 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Python, SQL
• Location requirements: Hybrid, Vienna, United States

About the role

• Senior Data Scientist developing data science solutions, driving mission-critical decisions at Navy Federal. Collaborating closely on model validations and remediation activities.

Responsibilities

• Independently develop data science solutions, machine learning models, and analytical insights that drive mission-critical decisions across the organization.
• Leverage member, financial, and operational data to identify opportunities for new products, services, and process optimization.
• Produce clear summaries, presentations, and documentation for leadership and cross-functional partners.
• Collaborate closely with the Fair Lending, Compliance, and Model Risk Management team on model validations and remediation activities.

Requirements

• 5+ years of experience in exploratory data analysis, ideally including building tree-based models.
• Strong programming and analytical skills, including experience with SQL, R, Python, SAS, and AWS.
• Understanding of financial services or banking concepts and regulatory considerations.
• Experience in model lifecycle execution, including development, monitoring, documentation, and governance.
• Experience validating models and partnering with internal or external auditors.
• Strong technical writing abilities, especially for model documentation.
• Excellent data storytelling and technical presentation skills.
• Strong research, analytical thinking, and problem-solving abilities.
• Ability to work independently, critically evaluate your own work, and handle complex problems.
• Strong communication and interpersonal skills.
• Demonstrated ability to build collaborative relationships with internal and external partners.
• High initiative, sound judgment, and attention to detail.
• Technical proficiency in big data analytics, coding, project management, and technical writing.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• **Desired Qualification**
• 5+ years of experience in financial services, particularly in acquisition model development, credit policy, or risk management.
• Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.

Benefits

• Health insurance
• 401(k)
• Paid time off
• Flexible working hours