Lead Data Scientist at SAP

Setup: Hybrid
Location: Houston, Texas
Type: Full-time
Level: lead/mgmt
Added to Metaintro: Sep 26, 2026

Summary from listing

Schlumberger is hiring a full-time Lead Data Scientist in Houston to provide technical leadership for industrial and production engineering data science, machine learning, and artificial intelligence solutions. The role covers end-to-end data science workflows, prognostics and health management models, production-grade model operations, AI-enabled applications, large language model agents, enterprise data science platforms, and technical mentorship. Candidates need a relevant master’s degree and three years of post-baccalaureate experience, including oil and gas equipment and production systems, reliability analytics, production ML deployment, industrial asset modeling, cloud and data science platforms, generative AI, and interactive dashboard development. Less than 50% telecommuting is permitted within the same geographic location.

Required Skills

Machine learning
PHM
ModelOps
LLM agents
Dataiku
Azure
GCP
Generative AI
React
Dash

Additional Information

Minimum Education: Master’s degree in Data Science, Computer Science, Computer and Information Science, Statistics, Engineering, Applied Mathematics, or a related STEM field, or foreign equivalent
Required Previous Experiences: 3 years of post-baccalaureate experience in the offered role or a related data science, machine learning, applied AI, or analytical job title
3 years applying oil and gas equipment and production systems knowledge to develop or deploy machine learning solutions for PHM, condition monitoring, or production optimization
3 years of reliability analytics using operational, sensor, and event-based data
3 years deploying and operating machine learning models in production systems, including edge or near-edge applications
3 years integrating machine learning, deep learning, LLM-based systems, and visualization tools with production engineering workflows
3 years developing machine learning and deep learning models for industrial assets, including predictive maintenance, anomaly detection, forecasting, and asset health monitoring
3 years using enterprise data science and cloud platforms, including Dataiku, Microsoft Azure, and Google Cloud Platform, to build and manage data pipelines, ML workflows, and GenAI applications
3 years deploying and operating generative AI and RAG systems combining LLMs with structured and unstructured data sources
3 years building interactive dashboards and analytical interfaces using React, Angular, Dash, or Streamlit
Translation Company Name: Schlumberger