Senior Principal Data Scientist (Marketing Channel Optimization)

About Us

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® 2026
• Yello and WayUp Top 100 Internship Programs 2025
• Computerworld® Best Places to Work in IT 2026
• Most Loved Workplace – America’s Top Most Loved Workplaces® 2025
• 2025 PEOPLE® Companies That Care
• Newsweek Most Trustworthy Companies in America 2026
• Military Times 2025 Best for Vets Employers
• Forbes® 2026 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
• 2026 Handshake Early Talent Award
• Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

About the Role

Provide analytical insight from organizational data to support mission-critical decision-making. Understand business needs and identify opportunities for new products and services to meet business objectives. Design and develop sophisticated predictive models and advanced algorithms to drive decisions and optimize business results. Devise testing of business data to draw conclusions for statistical significance at various confidence levels. Regarded as an industry expert in the data science field. Conduct highly complex work, unsupervised and with extensive latitude for independent judgment. Progression to this level is typically restricted on the basis of business requirement.

Responsibilities

• Direct existing principles and guide development of new policies
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• Identify opportunities, pose business questions, and make valuable discoveries
• Generate and test hypotheses, analyze and interpret the results
• Develop and code the most complex software programs, algorithms, and automated processes
• Translate complex business and technical needs into technological objectives
• Utilize effective written and verbal communication to document and present findings to stakeholders in support of critical decision-making
• Recognized as subject matter expert and advanced individual contributor professional
• Maintain and foster strong working relationships with team members, subject matter experts, and senior leaders
• Research and apply new best practices and ethical AI
• Advise senior leaders on analytical insights and solutions to solve business problems
• May lead complex technical projects and initiatives with significant impact
• Lead the development and enhancement of practices, procedures, and instructions
• Serve as lead technical resource for other team members
• Mentor and assist lower-level team members

Qualifications

• 10+ years of relevant experience
• In-depth professional knowledge, acumen, and concepts
• Requires specialized skill set
• Solid understanding of business dynamics and strategy
• Statistics, machine learning, programming, data modeling, simulation, trend analysis, visualization, and advanced mathematics to recognize patterns
• Proficiency in SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Project Management skills
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research skills
• Interpersonal skills
• Mentoring
• Model development
• Communication
• Critical thinking
• Thought leadership
• Initiative with sound judgment
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Independent judgment (extensive)
• Problem-solving (recognizes potential issues and risks for long-term implications)
• Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

• PhD in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Schedule

Monday - Friday, 8:00 AM - 4:30 PM

Location

820 Follin Ln. Vienna, Virginia 22180