Data Scientist

General Dynamics Information Technology

1d•Onsite

About The Position

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.

Requirements

Bachelor Degree in Computer Science, Machine Learning, Data Science, Applied Mathematics, or related technical field.
Compliant with DoD Directive 8140 (such as the CompTIA Security + CE or other related IT certs)
5+ years of related experience
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.
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.

Nice To Haves

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.

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.

Benefits

Comprehensive benefits and wellness packages
401K with company match
competitive pay
paid time off
variety of medical plan options
Health Savings Accounts
dental plan options
a vision plan
401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
full flex work weeks where possible
variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
short and long-term disability benefits
life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.