Data Scientist: Predictive Analytics & Visualization

Navy Federal Credit Union; Pensacola (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

Navy Federal Credit Union is seeking a data-focused professional to design, develop, and evaluate predictive models and automated reporting. You will work closely with analytics teams to translate complex data patterns into actionable business insights and support decision making across the organization.

Ideal candidates have a quantitative degree, 2-3 years of exploratory data analysis experience, and strong communication skills to present findings to non-technical stakeholders.

Qualifications

• Bachelor's degree in quantitative field.
• 2-3 years exploring data.
• Strong data storytelling and visualization.
• Experience developing automated reporting with dashboards.
• Proficiency in SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS.
• Model lifecycle execution and technical writing.
• Research and interpersonal skills.
• Ability to collaborate with non-technical stakeholders.

Responsibilities

• Design and evaluate basic predictive models with some complexity.
• Analyze and interpret results with some complexity.
• 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 and participate in projects.
• Document and present findings clearly.

Skills

Data analysis

SQL

Python

Tableau/Power BI

Data storytelling

Statistical modeling

Programming

Communication

Problem Solving

Education

Bachelor's in Data Science

Master's in Data Science

Tools

Python

R

SQL

Hadoop

SAS

SPSS

AWS

Job description

Navy Federal Credit Union is seeking a data-focused professional to design, develop, and evaluate predictive models and automated reporting. You will work closely with analytics teams to translate complex data patterns into actionable business insights and support decision making across the organization.

Ideal candidates have a quantitative degree, 2-3 years of exploratory data analysis experience, and strong communication skills to present findings to non-technical stakeholders.