On-siteJuniorData Scientistposted 1w ago

✦Role summaryAI-generated

This entry-level role at Navy Federal Credit Union focuses on building foundational predictive and descriptive models to support business decisions, with close supervision and gradual autonomy. The position emphasizes hands-on data analysis and basic machine learning to uncover patterns while aligning with organizational goals in a financial services context.

Skills required

Python Machine learning Predictive modeling Data modeling SQL Data extraction Statistics Data visualization Business intelligence Data science Data analysis R Hadoop SAS Scala AWS Data storytelling Project management

About this role

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Provide analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization. Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models. Perform routine assignments with increasing scope and complexity. Work under close supervision with some latitude for problem solving within existing data platforms and tools. Developing professional with basic skill set and proficiency.

Responsibilities

Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity
Analyze and interpret results with some complexity
Limited judgment and discretion within defined procedures and practices
Develop and code basic software programs, algorithms, and automated processes
Use modeling and trend analysis to analyze data
Collaborate with team members and participate in team projects and initiatives
Utilize effective written and verbal communication to document and present findings

Qualifications

Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
2-3 years of experience in exploratory data analysis
Statistics
Programming, data modeling, simulation, and mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
Model Development
Communication
Critical Thinking
Collaborate and Build Relationships
Initiative with sound judgement
Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Problem Solving (Responds as problems and issues are identified)

Desired Qualifications

Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
Experience supporting compliance, risk, or fair lending analytics in a financial service environment a plus
Familiarity with fair lending or consumer protection laws (e.g., ECOA, FHA) a plus

Additional Information

Hours: