Data Scientist

Navy Federal Credit Union•Vienna, VA

7d•$80,400 - $135,600

About The Position

The Data Scientist provides analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive organizational impact. The role develops an understanding of business needs and objectives using basic descriptive, predictive, and prescriptive models. It performs routine assignments of increasing scope and complexity under close supervision, with some latitude for problem solving using existing data platforms and tools. This is a developing professional role requiring a basic skill set and proficiency.

Requirements

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field.
Strong experience solving complex business problems and translating analysis into actionable business recommendations and strategic insights.
Experience designing and building 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.
Experience designing and building dashboards, KPI reporting, and self-service analytics solutions to monitor paid media and marketing performance, trends, and key business metrics.
Experience analyzing paid and marketing data across channels to identify performance drivers, trends, and optimization opportunities.
Experience partnering with Marketing stakeholders to translate data into actionable insights supporting campaign and investment decisions.
Excellent stakeholder management and communication skills, including partnering with business teams, gathering requirements, and communicating 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, including the ability to translate complex findings into clear, actionable insights for non-technical stakeholders.
Experience developing and optimizing automated reporting, dashboards, and visualizations in Tableau, Power BI, or Excel to communicate performance, trends, and business insights.
Knowledge of programming, data modeling, simulation, and mathematics.
Skills or knowledge in R, Hadoop, SAS, SPSS, Scala, and AWS.
Knowledge of model lifecycle execution.
Technical writing skills.
Data storytelling and technical presentation skills.
Research skills.
Interpersonal skills.
Model development skills.
Communication skills.
Critical thinking skills.
Ability to collaborate and build relationships.
Initiative and sound judgment.
Technical skills, including big data analysis, coding, project management, and technical writing.
Problem-solving ability, including responding as problems and issues are identified.
Must be authorized to work in the United States without current or future sponsorship.

Nice To Haves

Master's degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering.

Responsibilities

Design, develop, and evaluate basic or routine predictive models and algorithms with some complexity.
Analyze and interpret results with some complexity.
Exercise 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.
Document and present findings using effective written and verbal communication.