Data Scientist with Graph Neural Networks

Job Summary

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