Data Scientist; Marketing

Position: Data Scientist (Marketing preferred)
Job-:
Data Scientist

Location:

Vienna, VA, United States;
Pensacola, FL, United States Workplace:
Hybrid

Schedule:

Full time, Regular Hours Posted:
Closes:
Targeted Salary Range: $80,400 - $135,600 annually

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 and scalable data solutions that solve complex business problems and drive informed decision-making. Leverage programming, automated reporting, data infrastructure, business intelligence, and advanced analytics to translate data into actionable business recommendations.

Qualifications 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.

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 Databricks2-3 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, AWSModel 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 Additional Information

Hours:

Monday - Friday, 8:00AM - 4:30

PM

Location:

820 Follin Lane, Vienna, VA  Heritage Oaks Drive, Pensacola, FL 32526

Responsibilities Design and build automated reporting, dashboards, and self-service analytics solutions that improve reporting efficiency and accessibility.

Develop scalable data infrastructure, pipelines, data models, and automated workflows using tools such as Databricks, SQL, Python, and PySpark.

Analyze complex business problems to identify trends, opportunities, and actionable recommendations that support business decisions.

Create and maintain dashboards, KPIs, and reporting solutions using Power BI, Tableau, or similar visualization tools.

Partner with business and technical stakeholders to translate business needs into analytical solutions and clearly communicate insights and recommendations.

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

About the company

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…