Oil & Gas Data Scientist — AI-Driven Production Analytics

bakerhughes; Dhahran Compound; On-site; SAR 300,000 - 600,000; Full time

Job summary

Baker Hughes in Saudi Arabia seeks a data scientist/AI engineer to join a world-class team focused on data-driven optimization and AI-enabled solutions. You will contribute across the full lifecycle from framing problems to deployment, working with data engineers and platform teams to ensure data quality and observability.

Requirements include a Bachelor’s in a STEM field and 4+ years in data science, ML, or related tech, with strong Python and production-grade software capabilities.

Qualifications

• Bachelor's degree in CS/Data Science/Engineering/Math/Physics/IS or another STEM discipline.
• 4+ years of professional experience in data science, machine learning, analytics, software engineering, or a closely related technical field.
• Demonstrated experience delivering solutions from concept through production deployment.
• Strong programming and software engineering fundamentals.
• Proven ability to learn and apply new technologies, frameworks, and methodologies in rapidly evolving environments.

Responsibilities

• Identify, frame, and solve complex business and operational challenges using data science, ML, AI, optimization, and software engineering techniques.
• Design, develop, test, deploy, and maintain end-to-end data and AI solutions impacting business outcomes.
• Translate analytical concepts into scalable, reliable production systems.
• Contribute across the full solution lifecycle: requirements discovery, experimentation, development, deployment, monitoring, and improvement.

Skills

Python

ML/AI

Data Science

Analytics

Software engineering

Cloud-native

Agile

Stakeholder comms

Education

Bachelor's degree in STEM

Tools

AWS

Databricks

Docker

Kubernetes

Git CI/CD

Job description

Baker Hughes in Saudi Arabia seeks a data scientist/AI engineer to join a world-class team focused on data-driven optimization and AI-enabled solutions. You will contribute across the full lifecycle from framing problems to deployment, working with data engineers and platform teams to ensure data quality and observability.

Requirements include a Bachelor’s in a STEM field and 4+ years in data science, ML, or related tech, with strong Python and production-grade software capabilities.