Data Scientist & Engineer — AI, Data Pipelines & Visualization

Virtus TS; McLean (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Virtus is seeking a data scientist to work across the full lifecycle from data engineering and labeling through model development, visualization, and deployment. The role emphasizes extracting insights from diverse data types and building scalable data pipelines.

The ideal candidate will have hands-on experience with Python, ML model development, and cloud platforms, with a focus on delivering actionable analytics to support mission capabilities.

Qualifications

• Demonstrated experience applying data science techniques to extract insights from diverse data types.
• Demonstrated experience processing and reformatting large-scale datasets.
• Demonstrated experience developing, training, and evaluating AI/ML models for various tasks.

Responsibilities

• Apply data science across the full lifecycle from data engineering to deployment.
• Develop, train, test, and evaluate AI/ML models for object detection, data triage, and inference.
• Create and maintain data pipelines and dashboards to visualize analytic results.

Skills

Data science techniques

ML model development

Python

SQL/NoSQL

Communication

Tools

Jenkins

GitHub

JIRA

TensorFlow/PyTorch

Cloud platforms

Job description

Virtus is seeking a data scientist to work across the full lifecycle from data engineering and labeling through model development, visualization, and deployment. The role emphasizes extracting insights from diverse data types and building scalable data pipelines.

The ideal candidate will have hands-on experience with Python, ML model development, and cloud platforms, with a focus on delivering actionable analytics to support mission capabilities.