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 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. 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 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 Strong data storytelling and visualization skills, with ability to translate complex data and analytical findings into clear actionable insights for non-technical stakeholders Proven Experience developing and optimizing automated reporting: dashboards, and visualizations in Tableau/Power BI/excels to communicate performance, trends, and business insights 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