Data Scientist

Job Summary

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Senior Data Scientist at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. This role supports analytics, automation, and intelligent system development within secure, on‑premise and hybrid environments.

• Use open‑source tools and platforms to develop and deploy 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) for forecasting, classification, anomaly detection, and autonomous system behavior.
• Deploy and operationalize models: package and deliver models via containerized technologies (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 (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.

Bachelor’s Degree in Computer Science, Machine Learning, Data Science, Applied Mathematics, or related technical field.

DoD Directive 8140 compliant certificates such as CompTIA Security+ CE, ITIL 4 Foundation, Microsoft Certified:
Azure Database Administrator Associate (DP‑300).

5+ years of related experience in data science, AI/ML, and advanced analytics.

• Strong experience with Python and open‑source ML libraries (PyTorch, Tensor Flow, Scikit‑learn, XGBoost, Light
  
  GBM).
• Expertise in data management best practices and design/engineering for large‑scale data systems.
• Ability to translate end‑user high‑level requirements into detailed analytics processed in SIEM, AI/ML custom and cloud‑managed solutions.
• Proven 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 (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.

• 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 (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.

Must have current/active Secret clearance and US citizenship. Must be able to work on the client site in Tampa, FL. This is not a remote role.

Onsite work location: USA, FL – Mac Dill AFB.

Travel required:

Less than 10%.

Likely salary range: $110,500 – $149,500.

Health, dental, vision, 401(k) with company match, paid time off (vacation, sick, personal, holidays, parental, military, bereavement, jury duty), short‑term and long‑term disability, life and accident insurance, and other benefits standard for U.S.

-based employees.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans.