TS/SCI Data Scientist

Addison Group; Springfield (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401(k)

Job summary

Addison Group is seeking a Data Scientist to support mission-critical DoD and federal government initiatives in Springfield, VA. You will apply ML, data engineering, and geospatial analytics to solve complex challenges in a fast-paced, security-focused environment.

You will design data pipelines, develop ML solutions, and collaborate with stakeholders to deliver actionable insights that inform national security and operational decisions.

Qualifications

• Active TS/SCI security clearance required to start.
• Bachelor's degree in a related technical field.
• 4+ years in data science, ML, analytics, or related role.
• Strong foundation in statistics, probability, calculus, or related math.
• Experience with SQL, R, and Git.
• Experience developing end-to-end analytics solutions from data ingestion through deployment and visualization.
• Experience with computer vision, signal processing, geospatial analytics, or related applications.

Responsibilities

• Design, develop, and maintain scalable data pipelines for structured and unstructured data.
• Evaluate data collection, storage, transport, and security requirements to support mission readiness.
• Develop and deploy ML, DL, NLP, and Computer Vision solutions.
• Analyze complex datasets to identify trends, relationships, anomalies, and actionable insights.
• Transform raw data into meaningful products that support operational and strategic objectives.
• Build analytics solutions for geospatial intelligence, object detection, anomaly detection, signal processing, and predictive analytics.
• Optimize models for edge computing and bandwidth-constrained environments.
• Utilize Python, Docker, Git, APIs, Jupyter, VS Code, and CI/CD pipelines.
• Collaborate with engineers, analysts, and mission stakeholders to rapidly prototype and deliver innovative solutions.

Skills

Data science

Machine learning

Analytics

Statistics

Mathematics

Education

Bachelor's degree (Data Science/CS/Engineering/Math)

Tools

Python

Docker

Git

APIs

Jupyter

VS Code

CI/CD

Job description

The position is eligible for medical, dental, vision, and 401(k).

This position requires an ACTIVE TS/SCI security clearance at the time of hire.

This role is 100% onsite in Springfield, VA, especially during onboarding and the initial phase of the engagement.

Applications that do not meet these requirements cannot be considered.

Data Scientist

We're seeking a talented Data Scientist to join a multidisciplinary team supporting mission-critical initiatives for the U.S. Department of Defense, Intelligence Community, and other federal government clients. In this role, you'll apply advanced analytics, machine learning, and data engineering techniques to solve complex challenges across signal processing, computer vision, geospatial analytics, and predictive modeling.

This is an excellent opportunity for a data professional who thrives in a fast-paced, mission-focused environment where their work directly supports national security and operational decision-making.

What You'll Do

• Design, develop, and maintain scalable data pipelines for structured and unstructured data.
• Evaluate data collection, storage, transport, and security requirements to support mission readiness.
• Develop and deploy Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision solutions.
• Analyze complex datasets to identify trends, relationships, anomalies, and actionable insights.
• Transform raw data into meaningful products that support operational and strategic objectives.
• Build analytics solutions for geospatial intelligence, object detection, anomaly detection, signal processing, and predictive analytics.
• Optimize models for edge computing and bandwidth-constrained environments.
• Utilize modern development tools including Python, Docker, Git, APIs, Jupyter, VS Code, and CI/CD pipelines.
• Collaborate with engineers, analysts, and mission stakeholders to rapidly prototype and deliver innovative solutions.

Required Qualifications

• Active TS/SCI security clearance (required to start).
• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related technical field.
• 4+ years of experience in data science, machine learning, analytics, or a related technical role.
• Strong foundation in statistics, probability, graph theory, calculus, or other mathematical disciplines.
• Experience with:
• SQL
• R
• Git
• Experience developing end-to-end analytics solutions from data ingestion through deployment and visualization.
• Experience with computer vision, signal processing, geospatial analytics, or related applications.

Preferred Qualifications

• Master's degree in a related discipline or relevant industry certifications.
• Experience with FastAPI, Docker, REST APIs, AWS and/or Azure, GitLab, Jupyter, and CI/CD pipelines.
• Software engineering or application development experience.
• Process automation or workflow optimization experience.
• Previous support of Department of Defense, Intelligence Community, or other national security programs.
• Familiarity with Edge AI and low-latency machine learning deployments.
• Experience working in Agile development environments.

Location

Springfield, VA

• 100% onsite
• Candidates must be local to the area or willing to work onsite from day one.

Clearance Requirement

An active TS/SCI clearance is required. This requirement cannot be waived. Applicants without an active TS/SCI clearance will not be considered.

Why Join?

• Opportunity to support high-impact national security missions.
• Collaborative, multidisciplinary technical team.
• Long-term program with strong contract stability. The current effort is expected to continue through September 2027, pending final option-year confirmation.
• Work on cutting-edge machine learning, computer vision, geospatial analytics, and advanced data science initiatives supporting real-world operations.