Data Scientist

Navy Federal Credit Union; Winchester (VA); On-site; USD 95,000 - 125,000; Full time

Job summary

Navy Federal Credit Union is seeking a data science analyst to design, develop, and evaluate basic predictive models for business insights. The role involves analysis of results, collaboration on team projects, and documenting findings for stakeholders.

Ideal candidates will have a Bachelor's in a quantitative field, 2–3 years of exploratory data analysis experience, and proficiency in SQL, Python, R, and related tools. Location varies within the US; standard business hours apply.

Qualifications

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or similar quantitative field.
• 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)

Responsibilities

• Design and evaluate basic predictive models and algorithms.
• Analyze and interpret results with increasing complexity.
• Apply limited judgment within defined procedures.
• Develop and code basic software programs and automated processes.
• Use modeling and trend analysis to analyze data.
• Collaborate with team members on projects.
• Document and present findings clearly in writing and verbally.

Skills

SQL

Python

R

Data Modeling

Hadoop

AWS

Statistics

Communication

Problem Solving

Big Data

Education

Bachelor's Degree in Data Science/Statistics/Math

Master's Degree

Tools

SAS

SPSS

Hadoop

Spark

Job description

Overview

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

• Monday - Friday, 8:00AM - 4:30PM

Location

• 820 Follin Lane, Vienna, VA 22180
• 5510 Heritage Oaks Drive, Pensacola, FL 32526
• 141 Security Drive, Winchester, VA 22602

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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Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations

If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at [e-mail] or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.