Principal Data Scientist (Compliance)

Overview

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 Compliance. Understand business needs and identify opportunities for improvements to products, services, and processes to meet business objectives using cutting-edge data science. Develop artificial intelligence models and insights to drive impact across the organization. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff.

Responsibilities

• Design, develop, and evaluate natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
• Design, develop, and evaluate large and complex predictive models and advanced algorithms
• Test hypotheses/models, analyze, and interpret results
• Develop actionable insights and recommendations
• Develop and code complex software programs, algorithms, and automated processes
• Use evaluation, judgment, and interpretation to select right course of action
• Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• Transform data into charts, tables, or format that aids effective decision making
• Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders
• Develop and maintain strong working relationships with team members, subject matter experts, and leaders
• Lead moderate to large projects and initiatives
• Model best practices and ethical AI
• Works with senior management on complex issues
• Assist with the development and enhancement practices, procedures, and instructions
• Serve as technical resource for other team members
• Mentor lower levels

• 6+ years of experience with requisite competencies
• Complete knowledge and full understanding of specialization
• Statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization
• Advanced knowledge of natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
• Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
• Programming, data modeling, simulation, and advanced mathematics
• Advanced knowledge of SQL, R, Python, Microsoft Azure, and Databricks
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Advanced 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.)
• Independent Judgment
• Problem Solving (Identifies the constraints and risks)
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
• Familiar with Data Integration, Data Governance and Data Warehousing
• Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management