Data Scientist: Predictive Insights & Visualization

Navy Federal Credit Union

Pensacola (FL)

On-site

USD 65,000 - 95,000

Full time

10 hours ago
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Job summary

Navy Federal Credit Union in Pensacola, FL is seeking a data-focused professional to apply machine learning, programming, data modeling, and advanced mathematics to recognize patterns and drive impact across the organization.

You will develop descriptive, predictive, and prescriptive models, gaining understanding of business needs, objectives, and scope under supervision. Strong communication is essential to present findings to non-technical stakeholders.

Qualifications

  • Bachelor's degree in a quantitative field or higher.
  • 2-3 years of exploratory data analysis experience.
  • Strong data storytelling and visualization skills.
  • Experience creating automated dashboards and reporting.
  • Proficiency in SQL, R, Python, and big data tools.
  • Knowledge of model lifecycle execution and technical writing.

Responsibilities

  • Design, develop, and evaluate 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 on projects and initiatives.
  • Document findings with clear written and verbal communication.

Skills

Data analysis
Statistics
Data storytelling
Visualization
Tableau
Power BI
Excel

Education

Bachelor's degree in quantitative field
Master's degree in data science / related field

Tools

SQL
R
Python
Hadoop
SAS
SPSS
Scala
AWS

Job description

Navy Federal Credit Union in Pensacola, FL is seeking a data-focused professional to apply machine learning, programming, data modeling, and advanced mathematics to recognize patterns and drive impact across the organization.

You will develop descriptive, predictive, and prescriptive models, gaining understanding of business needs, objectives, and scope under supervision. Strong communication is essential to present findings to non-technical stakeholders.

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