Senior Data Scientist

Overview

Senior Data Scientist on the Healthcare Supply Chain Knowledge Representation team, building machine learning and AI capabilities for knowledge representation problems.

What you'll do

• Design and implement knowledge representation solutions balancing performance and costs using graph, document, tabular, and vector data stores.
• Design, build, and maintain entity resolution systems.
• Develop embedding-based and hybrid semantic similarity solutions.
• Build and operate LLM-assisted knowledge extraction pipelines to identify ontological candidates.
• Implement uncertainty quantification frameworks for KR outputs, including confidence scoring and calibration.
• Partner with data quality engineers on bidirectional feedback between KR pipeline failures and data quality issues.
• Collaborate with internal and external stakeholders and stay current with AI/ML/data science developments in KR.

What you'll need

• Greater than 4 years of applied ML and data science experience.
• Experience involving entity resolution, semantic matching, knowledge graph construction, or related KR problems.
• Hands-on LLM-assisted knowledge extraction skills including prompt design and structured output parsing.
• Working knowledge of RDF and SPARQL.
• Ability to design and implement model evaluation frameworks.
• Programming skills for ML pipeline development and tooling, including PyTorch or equivalent and HuggingFace or scikit-learn.
• Experience working where ML outputs feed into formal systems or decision-making processes.

Nice to have

• Bachelor's or advanced degree in CS, Statistics, Computational Linguistics, Information Science, or a related discipline.
• Experience with neurosymbolic AI approaches for knowledge graph completion, ontology alignment, or structured prediction.
• Healthcare supply chain domain knowledge.
• Familiarity with OWL 2 and description logics (reading-level).
• Experience with graph database platforms at production scale.