Full job description Overview 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. This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you. 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 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) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualification(s) Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 About Us You have goals, dreams, hobbies, and things you're passionate about—what's important to you is important to us. We're looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family, and passions. And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Together, we can make it happen. Don't take our word for it: Military Times 2022 Best for Vets Employers WayUp Top 100 Internship Programs Forbes® 2022 The Best Employers for New Grads Fortune Best Workplaces for Women Fortune 100 Best Companies to Work For® Computerworld® Best Places to Work in IT Ripplematch Campus Forward Award - Excellence in Early Career Hiring Fortune Best Place to Work for Financial and Insurance Services Equal Employment Opportunity: Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability EOE/AA/M/F/Veteran/Disability Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. 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.