Job Title : Senior Data Scientist

Summary

The Senior Data Scientist – Knowledge Representation is a core technical role on the Healthcare Supply Chain (HCSC) Knowledge Representation (KR) team. This role brings machine learning, data science, and AI capabilities directly in service of knowledge representation problems: entity resolution, knowledge graphs, embedding-based semantic alignment, LLM-assisted knowledge extraction, and validation of ontological claims against data.

Our platform connects hospitals, distributors, GPOs, manufacturers, and regulators, enabling transactional execution, clinical data alignment, and analytics optimization across organizational boundaries. Each party encodes its own implicit knowledge about the world in its schemas, identifiers, and workflows. The KR team's job is to make that implicit knowledge explicit, alignable, and trustworthy.

Essential Duties

Design and implement knowledge representation solutions that balance performance and costs: using a variety of data stores (graph, document, tabular, vector).
Design, build,



and maintain entity resolution systems.
Develop and own embedding-based and hybrid semantic similarity solutions.
Build and operate LLM-assisted knowledge extraction pipelines that identify ontological candidates from unstructured and semi-structured HCSC data sources.
Design and implement uncertainty quantification frameworks for KR outputs: confidence scoring for entity resolution decisions, calibration of alignment scores, and propagation of data quality signals through KR pipelines so that downstream consumers understand the reliability of what they receive.
Partner with data quality engineers to establish bidirectional feedback channels between KR pipeline failures and systematic data quality issues.
Collaborate with internal and external stakeholders.
Stay current with developments in AI, ML and Data Science including knowledge graph embeddings, neuro-symbolic AI, and AI reasoning.

Competencies

Robust

📌 Senior Data Scientist (Hyderabad)
🏢 GHX India
📍 Hyderabad