Data Scientist - Graph Neural Networks
ApTask · Posted Nov 6, 2026
- Remote, United States
- Remote
- Contract · Senior
- 7–12 years
We are seeking a highly skilled Data Scientist with proven expertise in Graph Neural Networks (GNNs) and Graph Machine Learning to lead the design, development, and implementation of graph-based AI models as part of a strategic Proof of Concept (POC).
Responsibilities
- Design, build, and optimize Graph Neural Network (GNN) models for complex business problems.
- Develop graph-based solutions for Link Prediction, Node Classification, Recommendation Systems, Network Analysis, Knowledge Graph Analytics, Fraud Detection, and Entity Resolution.
- Build scalable graph data pipelines and feature engineering workflows.
- Conduct model evaluation, experimentation, and performance optimization.
- Collaborate with domain experts, architects, and engineering teams to deliver production-ready solutions.
Requirements
- Nice to have: Neo4j
- Nice to have: TigerGraph
- Nice to have: Amazon Neptune
- Nice to have: JanusGraph
- Nice to have: NetworkX