Senior Data Scientist (Underwriting Credit Policy)
Company: Navy Federal Credit Union
Location: Vienna
Posted on: June 2, 2025
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Job Description:
Overview
While professional experience and qualifications are key for this
role, make sure to check you have the preferable soft skills before
applying if required.
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.
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
Understand how credit underwriting policy works, what impacts the
life cycle.
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
Qualifications
3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Statistics
Programming, data modeling, simulation, and advanced
mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
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
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180
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.
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--- 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: 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.
Keywords: Navy Federal Credit Union, Sterling , Senior Data Scientist (Underwriting Credit Policy), Other , Vienna, Virginia
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