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# Data Scientist Journeyman

- **Company:** General Dynamics IT
- **Location:** Tampa, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Application Integration Architecture, Computer Vision, Big Data, Data Security, Decision Support Systems, Distributed Data Store, Apache Hadoop, Python (Programming Language), Machine Learning, Meta-Data Management, Message Queuing Telemetry Transport (MQTT), Operational Data Store, Open Source Technology, Systems Development Life Cycle, Tensorflow, Scientific Computating, Security Information and Event Management, Toolchain, ZeroMQ (Concurrent Programming Libraries), Reinforcement Learning, Data Processing, Robot Operating System, Pytorch, Apache Spark, Deep Learning, Git, Scikit Learn, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Xgboost, Real Time Data, Data Management, Machine Learning Operations, TensorRT, NVIDIA Jetson, Software Version Control, Devsecops, Software Library, Docker
- **Published:** October 6, 2026
- **Apply:** http://hbcu.com/cgi-bin/jobs/searchJobs.cgi?job_id=35263741

## About the Role

TensorFlow, Scikit-learn) to support forecasting, classification, anomaly detection, and autonomous system behavior.Deploy and Operationalize ModelsPackage 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 SolutionsBuild lightweight, optimized models for low-power or disconnected environments; support fielded capabilities requiring minimal compute and latency.Lead MLOps ImplementationUse tools such as MLflow, DVC, Kubeflow, and Git for model versioning, reproducibility, and secure lifecycle management.Collaborate with Multi-Disciplinary TeamsPartner 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 IntegrationDevelop 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 ComplianceEngineer AI pipelines that adhere to DoD security, encryption, and data handling standards, including tagging, metadata management, and retention policies.WHAT YOULL 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 DoD Directive 8140Experience: 3+ years of related experienceRequired 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 systemsAbility to translate end-users 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 DoD environments, following cybersecurity and data stewardship protocols.Experience integrating models into CI/CD pipelines, analytics platforms, or decision support tools.Desired Skills:Experience with edge AI hardware (NVIDIA Jetson, Coral TPU, rugged ARM/x86 systems).Knowledge of NLP, computer vision, or reinforcement learning techniques applied to defense.Familiarity with Apache Spark, Hadoop, and distributed data frameworks.Background in real-time messaging protocols (e.g., MQTT, ZeroMQ, ROS) for edge-to-core communication.Familiarity with USCENTCOM operational data systems, networks, and
mission requirements.Understanding of DoD AI/ML strategies, ethical AI standards, and responsible deployment principles.Security clearance level: Secret with ability to obtain Top SecretUS citizenship requiredGDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do.Growth: AI-powered career tool that identifies career steps and learning opportunitiesSupport: An internal mobility team focused on helping you achieve your career goalsRewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time offCommunity: Award-winning culture of innovation and a military-friendly workplace

## Description

Own your opportunity to turn data into measurable outcomes for our customers most complex challenges. As a Data Scientist Journeyman at GDIT, youll 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 youll do at GDIT will be impactful to the mission of USCENTCOMs 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 ModelsCreate supervised, unsupervised, and deep learning models using open-source libraries (e.g., PyTorch