Requirements
- Bachelor's or Master's in Computer Science, Statistics, Data Science, or a related quantitative field.
- 8+ years of industry experience in data science or applied ML, with 4+ years of people leadership experience.
- Proven track record of delivering production ML systems that solve real-world business problems.
- Deep knowledge of ML/AI frameworks (e.g., PyTorch, TensorFlow, HuggingFace) and experience with applied NLP, GNNs, GraphRAG, and embeddings.
- Experience building systems leveraging Graph Databases, Vector Stores (e.g., FAISS, Pinecone), and cloud-native ML stacks (SageMaker, Databricks, etc.).
- Strong technical leadership, with the ability to direct teams to develop optimal ML solutions and guide research-to-production lifecycle.
- Excellent communication and stakeholder management skills; able to translate between business and technical worlds.
- A passion for building high-performing teams, mentoring others, and fostering a learning-first environment.