More jobs:
Data Scientist
Job in
Tampa, Hillsborough County, Florida, 33608, USA
Listed on 2026-05-22
Listing for:
General Dynamics Information Technology
Full Time
position Listed on 2026-05-22
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Cybersecurity
Job Description & How to Apply Below
** RQ219160
** Type of
Requisition :
** Regular
** Clearance Level Must Be Able to Obtain:
** Top Secret/SCI
** Public Trust/Other
Required:
** None
** Job Family:
** Data Science and Data Engineering
*
* Skills:
*
* Machine Learning Model Management,Machine Learning Operations,Python (Programming Language)
*
* Certifications:
*
* CompTIA Security+ CE | CompTIA - CompTIA, Microsoft Certified:
Azure Database Administrator Associate (DP-300) | Microsoft - Microsoft, ITIL 4 Foundation | People Cert - People Cert
*
* Experience:
*
* 5 + 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 Senior
** 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 Senior** , 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.
Roles and Responsibilities:
+ 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.
+ 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 Defense 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 Senior must have:
+
Education:
Bachelor Degree in Computer Science, Machine Learning, Data Science, Applied Mathematics, or related technical field.
+ Certification:
Compliant with DoD Directive 8140 (such as the CompTIA Security + CE or other related IT certs)
+
Experience:
5+ years of related experience
+
Required skills:
+ Strong experience with Python, open-source ML libraries (e.g., PyTorch, Tensor Flow, Scikit-learn, XGBoost, Light
GBM), 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, Tensor
RT, OpenVINO) for tactical and edge deployment.
+ Proven ability to work in classified or secure Defense 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 Defense AI/ML strategies, ethical AI standards, and responsible deployment principles.
+
** Required security clearance level: must have a current/active Secret clearance*
* +
** US citizenship required due to the Secret clearance…
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