Data Scientist Journeyman

Type of

Requisition :
Regular Clearance Level Must Currently Possess:
Secret Clearance Level Must Be Able to Obtain:
Top Secret/SCI Public Trust/Other

Required:

None Job Family: IT Infrastructure and Operations

Job Qualifications:

Skills:

Artificial Intelligence (AI), Development Design, Machine Learning (ML), Modeling

Certifications:

None

Experience:

3 + years of related experience US Citizenship

Required:

Yes

Job Description:

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Scientist Journeyman at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

MEANINGFUL WORK AND PERSONAL IMPACT As a Data Scientist Journeyman, the work you’ll do at GDIT will be impactful to the mission of USCENTCOM’s mission to become a data-centric organization. You will play a crucial role in supporting analytics, automation, and intelligent system development within a secure, on-premise and hybrid environments. Use of open-source tools and platform for developing and deploying AI/ML models iver operational insights, automate mission workflows, and apply machine intelligence to high-priority defense challenges.

• Develop and Train AI/ML Models Create supervised, unsupervised, and deep learning models using open-source libraries (e.g., PyTorch, Tensor Flow, Scikit-learn) to support forecasting, classification, anomaly detection, and autonomous system behavior.
• Deploy and Operationalize Models Package and deliver models via containerized technologies (e.g., Docker, Podman, Kubernetes) for execution in on-premise and edge environments (e.g., Jetson, rugged laptops).
• Design Edge-Compatible ML Solutions Build lightweight, optimized models for low-power or disconnected environments; support fielded capabilities requiring minimal compute and latency.
• Lead MLOps Implementation Use tools such as MLflow, DVC, Kubeflow, and Git for model versioning, reproducibility, and secure lifecycle management.
• Collaborate with Multi-Disciplinary Teams Partner with data scientists, Dev Sec Ops  teams, engineers, and analysts to align model development with operational requirements, and support AI integration into mission workflows.
• Enable Real-Time Sensor Integration Develop models that consume real-time data from local sensors, devices, or systems (e.g., video, radar, comms), delivering actionable results with minimal delay.
• Ensure Data Security and Compliance Engineer AI pipelines that adhere to DoD security, encryption, and data handling standards, including tagging, metadata management, and retention policies.

Bring your expertise and drive for innovation to GDIT.

• Education:
  
  Bachelor Degree in Computer Science, Machine Learning, Data Science, Applied Mathematics, or related technical field.
• Certification:
  Compliant with DoD Directive 8140
• Experience:
  
  3+ years of related experience
• Required skills:
  
  Strong experience with Python, open-source ML libraries (e.g., PyTorch, Tensor Flow, Scikit-learn, XGBoost, LightGBM), and scientific computing frameworks. Expertise in Data Management best practices, design and engineering for large-scale data systems Ability to translate end-user’s high-level requirements into detailed analytics to be processed in SIEM, AI/ML custom and cloud-managed solutions. Demonstrated ability to deploy models in air-gapped or on-prem environments, using Docker/Kubernetes/Podman.
  
  Hands-on knowledge of MLOps tool chains (MLflow, DVC, Kubeflow), version control (Git), and secure Dev Sec Ops  principles. Experience with model optimization and conversion (e.g., ONNX, TensorRT, OpenVINO) for…