Senior Data Scientist & Visualization SME

CACI International Inc; Chantilly (VA); On-site; USD 104,000 - 218,000; Full time

Job summary

CA CI International Inc invites a Sr. Data Scientist to join the Data & Analytics team in a role requiring TS/SCI with Polygraph. The candidate will lead analytics projects, develop ML models, and drive data visualization across the organization.

Strong collaboration with cross-functional teams is essential. The position emphasizes data governance, data ingestion, and the adoption of AI/ML tools to improve operations and insight delivery.

Qualifications

• Bachelor’s degree in a related field required.
• 7+ years overall experience with 5+ years as Data Scientist/Data Analyst or similar role.
• Proficiency with Tableau and Power BI for data connection, manipulation, and visualization.
• Hands-on experience with LLMs and generative AI frameworks.
• Strong statistical analysis knowledge and data visualization practices.

Responsibilities

• Work with cross-functional teams to identify, research, and solve complex analytical problems.
• Analyze large data sets to extract meaningful insights.
• Design, build, and maintain machine learning models and algorithms.
• Collaborate with data engineers to improve data collection and storage processes.
• Present findings and recommendations to stakeholders in a clear and actionable manner.
• Support Data Management requirements including Data Strategy, Modeling, Documentation, Ingestion, and Quality.
• Evaluate and integrate emerging AI/ML tools and frameworks to enhance analytic capabilities.

Skills

Statistics

Machine learning

Data mining

Communication

Education

Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field

Tools

Tableau

Power BI

Python

R

SQL

MLflow

Kubeflow

Docker

Kubernetes

Job description

CA CI International Inc invites a Sr. Data Scientist to join the Data & Analytics team in a role requiring TS/SCI with Polygraph. The candidate will lead analytics projects, develop ML models, and drive data visualization across the organization.

Strong collaboration with cross-functional teams is essential. The position emphasizes data governance, data ingestion, and the adoption of AI/ML tools to improve operations and insight delivery.