Data Scientist

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Motivo actual: No elegible: exige permiso de trabajo de EE. UU.. Con pasaporte italiano + settled status (UK) no cumples este requisito sin visado.

Descripción

Overview 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 analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization. Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models. Perform routine assignments with increasing scope and complexity. Work under close supervision with some latitude for problem solving within existing data platforms and tools. Developing professional with basic skill set and proficiency. Responsibilities Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity Analyze and interpret results with some complexity Limited judgment and discretion within defined procedures and practices Develop and code basic software programs, algorithms, and automated processes Use modeling and trend analysis to analyze data Collaborate with team members and participate in team projects and initiatives Utilize effective written and verbal communication to document and present findings Qualifications Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields 2-3 years of experience in exploratory data analysis Statistics Programming, data modeling, simulation, and mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Problem Solving (Responds as problems and issues are identified) Desired Qualifications Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering 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 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 From Fortune Magazine. © 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates 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 age, race, sex, color, religion, national or

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