Data Scientist (Marketing preferred)
Navy Federal Credit Union
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- Location
- Vienna, VA
- Job type
- Full time
- Posted
- Oct 28
- Today
Career path
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About the company
Navy Federal Credit Union
Financial services · 10,001+ employees
What you'll do
- Provide analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics
- Recognize complex patterns and identify opportunities to drive impact across the organization
- Develop an understanding of business needs and objectives through basic descriptive, predictive, and prescriptive models
- Perform routine assignments with increasing scope and complexity
What you need
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
- Strong experience solving complex business problems and translating analysis into actionable business recommendations and strategic insights.
- Proven ability to design and build executive-facing dashboards, KPI reporting, and self-service analytics solutions using Power BI, Tableau, or similar tools.
- Deep understanding of data infrastructure, data modeling, data pipelines, excel and reporting automation, and data quality, with a focus on scalable analytics.
- Proven ability to design and build executive-facing dashboards, KPI reporting, and self-service analytics solutions using Power BI, Tableau, or similar tools to monitor paid media and marketing performance, trends, and key business metrics.
- Proven track record in analyzing paid and marketing data across channels to identify performance drivers, trends, and opportunities for optimization.
- Proven record of partnering with Marketing stakeholders to translate data into actionable insights that support campaign and investment decisions.
- Excellent stakeholder management and communication skills, with the ability to partner with business teams, gather requirements, and clearly communicate findings to leadership
- Advanced proficiency in SQL, Python, PySpark, and Databricks
- 2-3 years of experience in exploratory data analysis and statistics
- Strong data storytelling and visualization skills, with ability to translate complex data and analytical findings into clear actionable insights for non-technical stakeholders
- Proven Experience developing and optimizing automated reporting: dashboards, and visualizations in Tableau/Power BI/excels to communicate performance, trends, and business insights
- Programming, data modeling, simulation, and mathematics
- R, 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
- Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
- Monday - Friday, 8:00AM - 4:30PM
- 820 Follin Lane, Vienna, VA 22180
- 5510 Heritage Oaks Drive, Pensacola, FL 32526
Key skills
machine learningprogrammingdata modelingadvanced mathematicsprescriptive models
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Read the full posting here
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.