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Job Description

Use organizational data to build predictive solutions and optimize marketing channel performance with advanced, largely unsupervised analytics.

Responsibilities

  • Direct existing principles and guide development of new policies
  • Deliver innovative solutions using exploratory data analysis across complex, high-dimensional datasets
  • Spot opportunities, define business questions, and uncover valuable insights
  • Formulate and test hypotheses; analyze and interpret results
  • Develop and code the most complex software programs, algorithms, and automated processes
  • Translate complex business and technical needs into technology objectives
  • Document and present analytical findings using effective written and verbal communication to support critical decisions
  • Serve as a recognized subject matter expert and advanced individual contributor for highly complex work
  • Maintain and foster strong working relationships with team members, subject matter experts, and senior leaders
  • Research and apply new best practices, including ethical AI practices
  • Advise senior leaders with analytical insights and solutions to solve business problems
  • May lead complex technical projects and initiatives with significant impact
  • Lead development and enhancement of practices, procedures, and instructions
  • Act as a lead technical resource for other team members
  • Mentor and support leading lower levels

Requirements

  • 10+ years of relevant experience
  • In-depth professional knowledge, acumen, and concepts; requires a specialized skill set
  • Solid understanding of business dynamics and strategy
  • Expertise across statistics, machine learning, programming, data modeling, simulation, trend analysis, visualization, and advanced mathematics to recognize patterns
  • Proficiency with SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Project Management skills
  • Model lifecycle execution
  • Technical writing; data storytelling and technical presentation skills
  • Research skills, interpersonal skills, and mentoring
  • Communication, critical thinking, and thought leadership
  • Initiative with sound judgment
  • Technical capabilities (Big Data Analysis, coding, project management, technical writing, etc.)
  • Independent judgment (extensive experience)
  • Problem solving that recognizes potential issues and risks for long-term implications
  • Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative field

Desired Qualifications

  • PhD in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Technologies

  • SQL
  • R
  • Python
  • Hadoop
  • SAS
  • SPSS
  • Scala
  • AWS

Work Location and Schedule

  • Location: 820 Follin Ln, Vienna, Virginia 22180
  • Work mode: Onsite (Vienna, VA)
  • Hours: Monday - Friday, 8:00AM - 4:30PM

Compensation

  • Salary range: USD 150,100 - 206,450 per year
  • Paid within the salary range based on experience, location, and market position

Disclaimers

  • Navy Federal reserves the right to fill this role at a higher or lower grade level based on business need
  • An assessment may be required to compete for this position
  • Job postings may close early or extend beyond 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 to remain competitive

Protect Yourself From Job Scams

  • Navy Federal Credit Union jobs are posted on jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed)
  • Do not post jobs on social media marketplaces, messaging apps, or unverified websites
  • Will not ask candidates for payment, bank details, or personal financial information during hiring

Bank Secrecy Act

  • Adheres to Navy Federal policies, procedures, and regulations related to the Bank Secrecy Act

Address: 820 Follin Ln, Vienna, VA 22180

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