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.

Hours

Monday - Friday, 8:00AM - 4:30PM EST

Location

820 Follin Lane, Vienna, VA 22180