Data Scientist Senior

General Dynamics Information Technology
Tampa, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 150K

Job location

Tampa, United States of America

Tech stack

Artificial Intelligence
Business Analytics Applications
Application Integration Architecture
Computer Vision
Big Data
Program Optimization
CompTIA Security+
Data Security
Decision Support Systems
Distributed Data Store
Hadoop
Python
Machine Learning
Meta-Data Management
Message Queuing Telemetry Transport (MQTT)
Operational Data Store
Open Source Technology
TensorFlow
Scientific Computating
Toolchain
ZeroMQ (Concurrent Programming Libraries)
Reinforcement Learning
Data Processing
Robot Operating System
PyTorch
Spark
Deep Learning
GIT
SC Clearance
Scikit Learn
Kubernetes
Information Technology
Low Latency
ONNX (Open Neural Network Exchange) Format
XGBoost
Real Time Data
Data Management
Machine Learning Operations
TensorRT
Software Version Control
Devsecops
Software Library
Docker

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., 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, 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 Defense security, encryption, and data handling standards, including tagging, metadata management, and retention policies.

Requirements

  • 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, 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 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 requirement
  • Must be able to work on the client site in Tampa FL. This is not a remote role., Years of Experience

5 + years of related experience

  • may vary based on technical training, certification(s), or degree Certification

CompTIA Security+ CE | CompTIA - CompTIA

Microsoft Certified: Azure Database Administrator Associate (DP-300) | Microsoft - Microsoft

ITIL 4 Foundation | PeopleCert - PeopleCert Travel Required

Less than 10% Citizenship

Benefits & conditions

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 opportunities
  • Support: An internal mobility team focused on helping you achieve your career goals
  • Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
  • Community: Award-winning culture of innovation and a military-friendly workplace, The likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

About the company

Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure., We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

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