Junior Data Scientist: Predictive Modeling & Insights

Navy Federal Credit Union; Winchester (VA); On-site; USD 65,000 - 85,000; Full time

Job summary

Navy Federal Credit Union is seeking an entry-level data analytics professional to design and evaluate predictive models, analyze data, and automate routine processes. The role emphasizes developing software and documenting findings with clear communication.

The position supports team projects across the organization, applying basic machine learning, statistics, and programming to recognize patterns and drive business impact. Located in Vienna, VA with standard schedules.

Qualifications

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or similar quantitative field.
• 1-2 years of experience in exploratory data analysis.
• Statistics.
• Programming, data modeling, simulation, and mathematics.
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS.

Responsibilities

• Design, develop, and evaluate routine predictive models and algorithms.
• Analyze and interpret data results with limited complexity.
• Develop and code routine software programs, algorithms, and automated processes.
• Use modeling and trend analysis to analyze patterns.
• Support and participate in team projects and initiatives.
• Document findings with clear written and verbal communication.

Skills

SQL

Python

R

Data analysis

Machine learning

Education

Bachelor's degree in a quantitative field

Tools

AWS

Hadoop

SAS

SPSS

Job description

Navy Federal Credit Union is seeking an entry-level data analytics professional to design and evaluate predictive models, analyze data, and automate routine processes. The role emphasizes developing software and documenting findings with clear communication.

The position supports team projects across the organization, applying basic machine learning, statistics, and programming to recognize patterns and drive business impact. Located in Vienna, VA with standard schedules.