General Dynamics Information Technology-posted 4 months ago
$106,250 - $143,750/Yr
Full-time • Senior
5,001-10,000 employees

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. 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 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 using containerized technologies (e.g., Docker, Podman, Kubernetes) for execution in on-premise and edge environments. Design edge-compatible ML solutions and lead MLOps implementation using tools such as MLflow, DVC, Kubeflow, and Git. Collaborate with multi-disciplinary teams and enable real-time sensor integration while ensuring data security and compliance.

  • Develop and train AI/ML models.
  • Deliver operational insights and automate mission workflows.
  • Apply machine intelligence to high-priority defense challenges.
  • Create supervised, unsupervised, and deep learning models.
  • Deploy and operationalize models using containerized technologies.
  • Design edge-compatible ML solutions.
  • Lead MLOps implementation.
  • Collaborate with multi-disciplinary teams.
  • Enable real-time sensor integration.
  • Ensure data security and compliance.
  • Bachelor Degree in Computer Science, Machine Learning, Data Science, Applied Mathematics, or related technical field.
  • 5+ years of related experience.
  • Strong experience with Python and open-source ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Expertise in data management best practices and design for large-scale data systems.
  • Ability to translate end-user’s high-level requirements into detailed analytics.
  • Demonstrated ability to deploy models in air-gapped or on-prem environments.
  • Hands-on knowledge of MLOps toolchains (MLflow, DVC, Kubeflow) and secure DevSecOps principles.
  • Experience with model optimization and conversion for tactical and edge deployment.
  • Proven ability to work in classified or secure DoD environments.
  • Experience with edge AI hardware (NVIDIA Jetson, Coral TPU).
  • Knowledge of NLP, computer vision, or reinforcement learning techniques.
  • Familiarity with Apache Spark, Hadoop, and distributed data frameworks.
  • Background in real-time messaging protocols for edge-to-core communication.
  • Familiarity with USCENTCOM operational data systems and mission requirements.
  • Understanding of DoD AI/ML strategies and ethical AI standards.
  • Comprehensive benefits and wellness packages.
  • 401K with company match.
  • Competitive pay and paid time off.
  • Full flex work weeks where possible.
  • Variety of paid time off plans including vacation, sick, and personal time.
  • Short and long-term disability benefits.
  • Life, accidental death and dismemberment, and critical illness insurance.
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