Data Scientist Journeyman

General Dynamics IT; Tampa (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

General Dynamics IT in Tampa, FL is seeking a Data Scientist Journeyman to turn data into measurable outcomes for our defense customers. You will power analytics, automate workflows, and advance AI/ML capabilities in secure environments.

Responsibilities include developing and training AI/ML models, deploying them with Docker/Kubernetes in on-premise or edge deployments, and collaborating with multi-disciplinary teams to integrate models into mission workflows.

Qualifications

• 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.

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.

Skills

AI

Dev Design

ML

Modeling

Python

PyTorch

TensorFlow

Scikit-learn

XGBoost

LightGBM

Education

Bachelor's degree in Computer Science

Tools

Docker

Podman

Kubernetes

MLflow

DVC

Kubeflow

Git

ONNX

TensorRT

OpenVINO

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.

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.

WHAT YOU'LL NEED TO SUCCEED

• 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

US citizenship required

GDIT IS YOUR PLACE

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive