À propos
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: 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. Gdit Is Your Place: 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 Own Your Opportunity: 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.
Compétences linguistiques
- English
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