Data Scientist / Engineer

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

Apply data science across the full lifecycle — from data engineering and labeling through model development, visualization, and deployment — in support of advanced analytic mission capabilities. Our most active hiring area.

• Demonstrated experience applying data science techniques — computer programming, mathematics and statistics, machine learning, graph analytics, and data analysis — to extract insights from diverse data types (e.g. imagery, geospatial, language, economic, and scientific).
• Demonstrated experience processing, analyzing, and reformatting large-scale tabular- and graph-structured data, from single files to multi-terabyte datasets.
• Demonstrated experience developing, training, testing, and evaluating AI/ML models for tasks such as object detection, data triage, search and optimization, inference, and automated decision-making.
• Demonstrated experience with data labeling and tagging tools and methods that maximize the accuracy, reusability, and explainability of training datasets.
• Demonstrated experience designing, building, and maintaining databases, data pipelines (extract, transform, load), and large-scale data processing systems.
• Demonstrated experience creating software pipelines to query, combine, and merge data sources for analysis.
• Demonstrated experience maintaining dataset versioning to ensure model reproducibility.
• Demonstrated ability to communicate analytic results to both technical and non-technical stakeholders.

02 Technologies

Technologies

The contractor team shall have experience with the following technologies, including but not limited to:

• Python
• SQL / NoSQL databases
• Jenkins
• GitHub
• JIRA
• TensorFlow / PyTorch
• Cloud (VPC) environments

03 Highly desired

Highly desired

The following experience is highly desired, though not required.

• Demonstrated experience developing dashboards and custom static or interactive data visualizations and prototype web applications.
• Demonstrated experience deploying analytical software packages and custom virtual environments in standalone, on-premises, or cloud environments.
• Demonstrated experience identifying and mitigating AI/ML model vulnerabilities.
• Demonstrated experience providing data engineering support that maximizes data scientists' time on mission.
• Demonstrated experience with cloud security and the assessment and authorization (A&A) of data science compute environments.
• Demonstrated experience creating, facilitating, or delivering data science training (courses, mentoring, or hackathons).

Apply

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Send a current résumé and a brief note on availability and clearance status. Hiring decisions at Virtus are made by senior leadership — not a portal.