Data Scientist with Graph Neural Networks

Seeking a contract Data Scientist with Graph Neural Networks and Machine Learning, who will design, develop, and implement graph-based AI models to solve complex business problems while working onsite in Charlotte, NC. Key responsibilities Design, build, and optimize Graph Neural Network (GNN) models for applications such as link prediction and fraud detection Develop scalable graph data pipelines and conduct model evaluation and performance optimization Collaborate with cross-functional teams to deliver production-ready solutions and present findings to stakeholders Required qualifications Proven hands-on experience with Graph Neural Networks, including Graph Convolution Networks and Graph Attention Networks Demonstrated delivery experience in graph-based machine learning implementations with measurable business outcomes Strong proficiency in Python and advanced machine learning libraries such as NumPy, Pandas, and Scikit-learn Hands-on expertise with GNN frameworks like PyTorch Geometric and TensorFlow GNN Experience in deep learning, including neural network design and hyperparameter tuning