Job Description
Responsibilities for this Position
Location: USA FL MacDill AFB
Full Part/Time: Full time
Job Req: RQ206338
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: Data Science and Data Engineering
Job Qualifications: Skills: Analytics, Data Science, Kubernetes
Certifications: None
Experience: 5 + years of related experience
US Citizenship Required: Yes
Job Description: As a
Data Scientist Senior at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward. Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
WHAT YOU WILL DO: 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.
- Deliver operational insights, automate mission workflows, and apply machine intelligence to high-priority defense challenges through the use of open-source tools and platforms for developing and deploying AI/ML models at scale.
- 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. 5+ years of related experience
- Certification: Compliant with DoD Directive 8140
- Roles and Responsibilities: Develop and Train AI/ML Models
- 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 clearance required
GDIT IS YOUR PLACE: 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
Not sure this job's the one for you? Check out our other openings at gdit.com/careers.
Do you have a friend or colleague this posting describes? Let them know about the opportunity by clicking "Share."
#ARMA
#CENTCOMCITS
The likely salary range for this position is $106,250 - $143,750. 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.
Scheduled Weekly Hours: 40
Travel Required: Less than 10%
Telecommuting Options: Onsite
Work Location: USA FL MacDill AFB
Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc .
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
PI277645617
As a
Data Scientist Senior at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward. Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
WHAT YOU WILL DO: 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.
- Deliver operational insights, automate mission workflows, and apply machine intelligence to high-priority defense challenges through the use of open-source tools and platforms for developing and deploying AI/ML models at scale.
- 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. 5+ years of related experience
- Certification: Compliant with DoD Directive 8140
- Roles and Responsibilities: Develop and Train AI/ML Models
- 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 clearance required
GDIT IS YOUR PLACE: 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
Not sure this job's the one for you? Check out our other openings at gdit.com/careers.
Do you have a friend or colleague this posting describes? Let them know about the opportunity by clicking "Share."
Job Tags
Full time, Temporary work, Local area, Immediate start, Remote work, Worldwide, Flexible hours,