Data Scientist Journeyman

** Req :
** RQ229587

** Type of

Requisition :
** Regular

** Clearance Level Must Be Able to Obtain:
** Top Secret/SCI

** Public Trust/Other

Required:

** None

** Job Family:
** IT Infrastructure and Operations

*
* Skills:

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

*
* Certifications:

*
* CompTIA Security+ CE | CompTIA - CompTIA

*
* 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, 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.

** 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 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 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…