Senior Data Scientist

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. This role supports risk and compliance‑focused analytics, including the evaluation of models, policies, and business practices for potential fair lending and consumer compliance risk. The Senior Data Scientist will conduct descriptive, predictive, and prescriptive analyses to assess outcomes, test assumptions, and identify potential bias, while partnering with stakeholders to support responsible and compliant business decisions. 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. Evaluate moderately complex predictive models and advanced algorithms Identifies meaningful insights from large data and metadata sources Test hypotheses/models, analyze, interpret, and document results Review input data, assumptions, and outcomes of models and analytical frameworks to assess potential risk and fairness considerations. 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 format that aids effective decision making Build working relationships with team members, business partners, compliance, legal, and subject matter experts Lead small projects and initiatives Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders 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 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 Interpersonal Skills Working knowledge of procedures, instructions, and validation techniques Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Sound Judgment Problem Solving (Responds as problems and issues are identified) Desired Qualifications Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field Experience supporting compliance, risk, or fair lending analytics in a financial services environment Familiarity with fair lending or consumer protection laws (e.g., ECOA, FHA) and evaluating models or policies for potential bias Experience assessing or validating models, including machine learning models, for fairness or governance considerations Additional Information Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 5510 Heritage Oaks Drive, Pensacola, FL 32526 141 Security Drive, Winchester, VA 22602