Data Scientist Journeyman at General Dynamics in MacDill AFB, FL

Job description

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 at scale. Deliver operational insights, automate mission workflows, and apply machine intelligence to high-priority defense challenges. HOW A DATA SCIENTIST WILL MAKE AN IMPACT Roles and Responsibilities: Develop and Train AI/ML Models Create supervised, unsupervised, and deep learning models using open-source libraries (e.g., PyTorch, TensorFlow, 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, DevSecOps 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 DoW security, encryption, and data handling standards, including tagging, metadata management, and retention policies. WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Data Scientist Journeyman must have: Education: Bachelor Degree in Computer Science, Machine Learning, Data Science, Applied Mathematics, or related technical field. Certification: Compliant with DoW Directive 8140 Experience: 3+ years of related experience Required skills: Strong experience with Python, open-source ML libraries (e.g., PyTorch, TensorFlow, 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 toolchains (MLflow, DVC, Kubeflow), version control (Git), and secure DevSecOps principles. Experience with model optimization and conversion (e.g., ONNX, TensorRT, OpenVINO) for tactical and edge deployment. Proven ability to work in classified or secure DoW environments, following cybersecurity and data stewardship protocols. Experience integrating models into CI/CD pipelines, analytics pla