Data Scientist Senior
Role details
Job location
Tech stack
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.