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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Journeyman - **Company:** General Dynamics Information Technology - **Location:** Tampa, FL, United States (Remote available) - **Experience:** Experienced - **Salary:** $97,750.0 - $132,250.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Application Integration Architecture, Computer Vision, Big Data, Software Code Optimization, 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, Low Latency, 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:** https://www.dice.com/job-detail/7b0c6fc6-905c-42e8-bec9-422623dd1420 ## About the Role Artificial Intelligence (AI), Development Design, Machine Learning (ML), Modeling, 3 + years of related experience, * 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, 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 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 Secret * ship required ## 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., 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 DoD security, encryption, and data handling standards, including tagging, metadata management, and retention policies.