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. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. 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.
 

  • Driving insights, building reports/dashboards and presentations 
  • Design, develop, and evaluate moderately complex predictive models and advanced algorithms 
  • Identifies meaningful insights from large data and metadata sources
  • Test hypotheses/models, analyze, and interpret results
  • 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 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
     
  • 5-7 years of full life cycle experience in modeling, segmentation and dashboard creation exploratory data analysis
  • Proficiency in understanding business and operations
  • Proactive in identifying opportunities to support the debit card portfolio and member experience
  • Advanced skill using statistical methods, mathematical techniques, forecasting, cost-benefit analysis, programming, data modeling, simulation, and advanced mathematics 
  • Advanced working experience with SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS (Databricks), Power BI and ASL
  • Expert knowledge and understanding of business area/specialization budgeting and valuation of initiatives 
  • Advanced knowledge of reporting capabilities of existing ERP, CRM and/or database software vendors
  • Advanced skill in complex data manipulation across multiple systems
  • Advanced skill communicating data analysis and visualizations to nontechnical and senior audiences
  • Advanced skill in utilizing work products to tell a story through appropriate balance of visualizations, presentations and design aesthetics
  • Advanced skill standing up models from scratch and driving all aspects of legal compliance and organizational buy-in 
  • Technical writing
  • Research Skills
  • Advanced experience presenting to senior executives 
  • 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)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
     

Desired Qualification(s)

  • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
  • Debit card and/or other payments experience 

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180

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.

  • Best Companies for Latinos to Work for 2024
  • Computerworld® Best Places to Work in IT
  • Forbes® 2024 America’s Best Large Employers
  • Forbes® 2023 The Best Employers for New Grads
  • Fortune Best Workplaces for Millennials™ 2023   
  • Fortune Best Workplaces for Women ™ 2023       
  • Fortune 100 Best Companies to Work For® 2024
  • Military Times 2023 Best for Vets Employers
  • Newsweek Most Loved Workplaces 
  • Ripplematch Campus Forward Award - Excellence in Early Career Hiring
  • Yello and WayUp Top 100 Internship Programs

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. 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: Navy Federal values and celebrates diversity in the workplace. 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.

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

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.

Location

Vienna, VA, United States

Job Overview
Job Posted:
2 months ago
Job Expires:
Job Type
Full Time

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