Senior Data Scientist

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 with a focus on managing credit risk. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives using cutting-edge data science techniques. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Develop credit risk models and strategies for underwriting and account management to optimize Lending decisions Develop simulation/capacity models for capacity planning and business process improvement to improve operational efficiency, and member service and satisfaction Develop, implement, and use of credit scoring models for underwriting strategies Maintain thorough knowledge of credit bureau data, tools and initiatives as well as newer advancements in Machine Learning and AI, and how they may be leveraged to improve Lending's credit decisions Develop and refine segmentation models to help focus corporate and divisional activities and goals supporting corporate growth, retention, client/member experience and long-term profitability Design, develop, and evaluate large and complex predictive models and advanced algorithms Develop and code complex software programs, algorithms, and automated processes Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets Transform data into charts, tables, or format that aids effective decision making Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders Lead moderate to large projects and initiatives Model best practices and ethical AI Serve as technical resource for other team members Mentor lower-level data scientists Statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization Programming, data modeling, simulation, and advanced mathematics Python, SQL, R, SAS Technical writing Data storytelling and technical presentation skills Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Problem Solving (Identifies the constraints and risks) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering Hours: Monday - Friday, 8:00AM - 4:30PM Navy Federal provides much more than a job. Computerworld Best Places to Work in IT

• Forbes 2024 America's Best Employers for New Grads

• Forbes 2024 America's Best Employers for Tech Workers

• Fortune Best Workplaces for Women

2024

• Military Times 2024 Best for Vets Employers

• 2024 PEOPLE Companies That Care

• Yello and WayUp Top 100 Internship Programs 2025 Fortune Media IP Limited. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran. Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.