Senior Data Scientist

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.

Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.

This team supports consumer loans to include mortgage, auto, personal and student loan campaigns and initiatives in addition to the building of rule-based models to provide insights to our members.

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 independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.

Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.

This team supports consumer loans to include mortgage, auto, personal and student loan campaigns and initiatives in addition to the building of rule-based models to provide insights to our members.

Qualifications

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
• 3-5 years of experience in exploratory data analysis
• Versed in data visualization with Power BI, Excel and Tableau
• Marketing experience
• Experience with leading end-to-end campaign analysis and experience with trend analysis
• Experienced in the nuances that come with working with stakeholders and extracting core KPIs needed to deliver an informed analysis to help shape business decisions
• Foundational understanding on data trends that can influence future campaign performance
• Basic understanding of business and operating environment
• Statistics
• Programming, data modeling, simulation, and advanced mathematics
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Ability to manage stakeholders
• Research Skills
• Interpersonal Skills
• Working knowledge of procedures, instructions, and validation techniques
• Model Development
• Communication
• Critical Thinking
• Collaborate and Build Relationships
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Sound Judgment
• Problem Solving (Responds as problems and issues are identified)
• Desired Qualifications
• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
• Familiar with reporting and analysis leveraging MTA (multi-touch attribution) and LTA (last touch attribution)
• Additional Information
• Hours: Monday - Friday, 8:00AM - 4:30PM
• Location: 820 Follin Lane, Vienna, VA 22180
• 5510 Heritage Oaks Drive, Pensacola, FL 32526

Responsibilities

• Design, develop, and evaluate moderately complex rule-based models and advanced algorithms
• Support the assigned value stream as the lead analyst for all assigned campaigns
• Identifies meaningful insights from large data and metadata sources to help shape stakeholder strategy and provide data-driven recommendations
• Test hypotheses/models, analyze, and interpret results
• Exercise sound judgment and discretion within defined procedures and practices
• Develop and code moderately complex software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data and provide insights
• Develop understanding of best practices and ethical AI
• Transform data into charts, tables, or format that aids effective decision making
• Build working  relationships with team members and subject matter experts
• Lead various sized projects and initiatives from kickoff to handoff
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders and executives