Chief Data Scientist — Enterprise AI for Supply Chain

SAP

Palo Alto (CA)

On-site

USD 274,000 - 609,000

Full time

14 days+

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Job summary

SAP is seeking a senior Data and Applied Science engineer to build the semantic and contextual AI foundation across SAP's data landscapes. You will work on AI and knowledge-graph powered solutions that harness SAP master data models, process semantics, and diverse data sources to enable accurate, scalable AI across SAP products.

You will collaborate with product, engineering, and customer-facing teams to design, develop, and operationalize ML/AI capabilities, leveraging platforms like Databricks

Qualifications

Advanced degree in a quantitative field.
Experience with ML/DL and LLMs in real-world datasets.
Strong Python and SQL, production-grade development.
Experience deploying AI in production.

Responsibilities

Build AI capabilities using enterprise data, knowledge graphs, and business data assets.
Design and maintain enterprise ontologies and semantic models.
Collaborate with product, engineering, and customer-facing teams to ensure scalable, production-ready solutions.
Translate business challenges into concrete AI use cases and designs.
Develop end-to-end ML solutions from data preprocessing to deployment and lifecycle support.

Skills

Python

SQL

ML engineering

Communication

Agile

Education

Master's or PhD in Computer Science/Applied Math/Statistics/Engineering

Tools

Databricks

SAP Datasphere

SAP HANA Cloud Knowledge Graph Engine

SAP Graph API

SPARQL/Cypher/GQL

Job description

You will collaborate with product, engineering, and customer-facing teams to design, develop, and operationalize ML/AI capabilities, leveraging platforms like Databricks

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