Senior Data Scientist: Predictive Maintenance & AI at Scale

Schlumberger Limited

Houston (TX)

Hybrid

USD 120,000 - 190,000

Full time

12 hours ago

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Benefits offered by this job

Health, vision, and dental insurance

Learning opportunities and global team

Diversity and inclusion programs

Job summary

Schlumberger Limited is seeking a leader in Digital Technology & Research to drive AI/ML solutions for industrial engineering. You will oversee the design, deployment, and governance of PHM models, time-series analytics, and scalable data pipelines that power predictive maintenance and asset optimization.

You will build production-grade analytics, dashboards, and LLM-based workflows integrated with enterprise data sources.

Qualifications

Master’s degree in Data Science, Computer Science, or related STEM field with 3+ years of post-baccalaureate experience.
Experience applying domain knowledge of oil and gas equipment to develop ML solutions.
Experience deploying ML models in production including edge/near-edge deployments.
Experience integrating ML models with production engineering workflows and dashboards.
Experience with enterprise data science platforms (Dataiku, Azure, GCP).

Responsibilities

Lead design, development, deployment, and lifecycle management of data science/AI solutions for industrial engineering applications.
Develop prognostics and health management models using time-series and event-based data.
Build end-to-end data science workflows: ingestion, feature engineering, validation, deployment, monitoring.
Develop AI-enabled apps and dashboards for technical and business stakeholders.
Architect and operate production-grade LLM agents and GenAI workflows.