Data Scientist

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top 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:

Machine Learning Model Management, Machine Learning Operations, Python (Programming Language)

Certifications:

None

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, 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.

                                                                                                                                                   

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, 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: