Principal 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. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Mentor lower level staff. 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 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 Location: 820 Follin Lane, Vienna, VA 22180