Senior Data Scientist (Underwriting Credit Policy)

Overview

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)
• Bachelors Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualification(s)

• Masters/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

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired

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.

Best Companies for Latinos to Work for 2024

Computerworld Best Places to Work in IT

Forbes 2024 Americas Best Large Employers

Forbes 2024 Americas Best Employers for New Grads

Forbes 2024 Americas Best Employers for Tech Workers

Fortune Best Workplaces for Millennials 2024

Fortune Best Workplaces for Women 2024

Fortune 100 Best Companies to Work For 2024

Military Times 2024 Best for Vets Employers

Newsweek Most Loved Workplaces

2024 PEOPLE Companies That Care

Ripplematch Recruiting Choice Award

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 teams 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.