Senior Data Scientist (Credit Risk & Decision Science)

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.

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• Design, develop, and evaluate moderately complex predictive models and advanced algorithms 
• Identifies meaningful insights from large data and metadata sources
• 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
• Manage, architect, and analyze big data in order to build data driven insights and high impact data models
• Evaluate model design and performance and perform champion/challenger development. Analyze model input data, assumptions, and overall methodology. 
• Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment
• Lead small projects and initiatives
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

• 3-5 years of experience in exploratory data analysis
• Basic understanding of business and operating environment
• Statistics, economics, business, engineer, math
• Programming, data modeling, simulation, and advanced mathematics 
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, Databricks
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• 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)
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
• Desired: Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

Desired Qualification(s)

• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

Hours: Monday - Friday, 8:30AM - 5:00PM 

Location: 820 Follin Lane, Vienna, VA 22180

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 with highly competitive pay and generous benefits and perks.

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Equal Employment Opportunity: Navy F