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Principal Data Scientist

Navy Federal Credit Union
Vienna, USA
Full-time
Senior · 6+ years experience
Hybrid
Discovered 6 days ago
awshadooppythonsasscalasql

Full Job Posting

Qualifications

  • 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
  • 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
  • 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

Desired Qualifications

  • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
  • 6+ years of experience applying advanced analytics, machine learning, and statistical methods to solve complex business problems and influence strategic decisions.
  • Strong understanding of the end-to-end data science lifecycle, including data quality assessment, feature engineering, model development, validation, deployment, monitoring, and governance.
  • Expertise in Voice of the Member, customer feedback, survey, complaint, contact center, or digital interaction data, with the ability to turn unstructured feedback into actionable insights.
  • Experience applying Natural Language Processing (NLP), text analytics, sentiment analysis, topic modeling, and/or Large Language Models (LLMs) to understand customer needs, behaviors, and experiences.
  • Additional Information
  • Hours:
  • Monday - Friday, 8:00AM - 4:30PM EST
  • 820 Follin Lane, Vienna, VA 22180

Location:

  • 820 Follin Lane, Vienna, VA 22180

Responsibilities

  • 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

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