Chief Data Scientist - Enterprise Domain Models & AI

SAP SE; Palo Alto (CA); On-site; USD 274,000 - 609,000; Full time

Job summary

SAP SE is seeking a Data Science Chief Expert, Domain Models to lead semantic data solutions and enterprise ontologies. You’ll shape SAP’s AI foundation by aligning data models with business processes, working across Order-to-Cash, Procure-to-Pay, and other domains, and delivering production-ready AI capabilities using SAP Datasphere and knowledge graphs.

You’ll partner with product and engineering teams, translate complex business challenges into concrete AI use cases, and advance the state of

Qualifications

• Advanced degree in a quantitative field with 10+ years in ML/AI.
• Strong Python/SQL development with production-grade implementations.
• Experience deploying AI/ML solutions in production with lifecycle support.

Responsibilities

• Design, develop, evaluate, and operationalize end-to-end ML and AI solutions.
• Build enterprise ontologies and semantic models for SAP data landscapes.
• Collaborate with product, engineering, and business teams to scale solutions.
• Work with Databricks and cloud platforms to support reliable AI workflows.

Skills

Python

SQL

PyTorch

TensorFlow

scikit-learn

ML libraries

LLMs

Production-grade Python

Databricks

AWS

Azure

Google Cloud Platform

SAP Datasphere

SAP HANA Cloud

Master data domains

Education

Master's degree in CS / Math / Statistics / Engineering

PhD in a quantitative field

Tools

Databricks

SAP Datasphere

SAP Graph API

Knowledge graphs

RDF/OWL, SHACL

SPARQL

GQL

Job description

SAP SE is seeking a Data Science Chief Expert, Domain Models to lead semantic data solutions and enterprise ontologies. You’ll shape SAP’s AI foundation by aligning data models with business processes, working across Order-to-Cash, Procure-to-Pay, and other domains, and delivering production-ready AI capabilities using SAP Datasphere and knowledge graphs.

You’ll partner with product and engineering teams, translate complex business challenges into concrete AI use cases, and advance the state of