Digital Technology Specialist - Data Science

Baker Hughes; Dhahran Compound; On-site; SAR 180,000 - 300,000; Full time

Job summary

Baker Hughes seeks a Digital Technology Specialist - Data Science in Saudi Arabia to join a world-class oilfield services team. You will drive end-to-end data and AI solutions, translate analytics into production systems, and collaborate across disciplines to deliver measurable business impact.

The role requires a bachelor’s in a STEM field and at least 4 years in data science, ML, analytics, or software engineering.

Qualifications

• Bachelor's degree in a STEM field with strong analytical foundation.
• 4+ years of professional experience in data science, ML, analytics, software engineering, or related field.
• Proven track record delivering solutions from concept through production deployment.

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 that create measurable business impact.
• Translate analytical concepts into scalable, reliable production systems.
• Collaborate across the full solution lifecycle and with domain experts to incorporate operational context.

Skills

Python

Data science

ML/AI

Cloud-native

AWS

Databricks

Docker

Kubernetes

CI/CD

LLMs

Communication

Education

Bachelor's degree in Computer Science or related STEM

Tools

Docker

Kubernetes

Git

Databricks

AWS

Job description

Are you passionate about being part of a successful team?

Would you like the opportunity to work for a world class oilfield services company?

Join our team!

our organization increasingly adopts AI-enabled and agentic ways of working, we are looking for individuals who combine strong scientific and engineering fundamentals with curiosity, adaptability, and a bias for execution. Success in this role requires the ability to rapidly learn emerging technologies, collaborate across disciplines, and contribute throughout the entire solution lifecycle from problem framing and experimentation through deployment, operationalization, and continuous improvement.

Experience in Oil & Gas and an appreciation for the importance of domain context in solving real business problems are highly valued.

Partner with the best:

• Identify, frame, and solve complex business and operational challenges using data science, machine learning, AI, optimization, and software engineering techniques.
• Design, develop, test, deploy, and maintain end-to-end data and AI solutions that create measurable business impact.
• Translate analytical concepts into scalable, reliable, and maintainable production systems.
• Contribute across the full solution lifecycle, including requirements discovery, experimentation, development, deployment, monitoring, and continuous improvement.
• Collaborate with domain experts to incorporate operational context and business constraints into solution design.
• Leverage modern AI-assisted development practices and emerging technologies to accelerate delivery while maintaining engineering rigor, quality, and governance.
• Work closely with data engineers and platform teams to ensure data quality, reliability, scalability, and observability.
• Evaluate new technologies, frameworks, and methodologies, adopting them where they provide meaningful business value.
• Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.
• Contribute actively within Agile teams operating across multiple locations, functions, and time zones.
• Document, share, and promote best practices that improve team effectiveness and technical excellence.

Fuel your passion

To be successful in this role you will:

• Have a bachelor's degree in computer science, Data Science, Engineering, Mathematics, Physics, Information Systems, or another STEM discipline.
• Have a minimum 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.
• Have a strong programming and software engineering fundamentals.
• Proven ability to learn and apply new technologies, frameworks, and methodologies in rapidly evolving environments.

Technical Expertise

• Strong proficiency in Python and experience developing production-quality software.
• Experience with modern development ecosystems and cloud-native technologies, such as:
  • Python
  • TypeScript
  • Go and/or Rust
  • AWS
  • Databricks
  • Git-based CI/CD pipelines
  • Containerization technologies such as Docker and Kubernetes
• Experience with machine learning, AI, optimization, statistical analysis, and data-driven decision-making.
• Familiarity with large language models (LLMs), generative AI, agentic systems, and AI application development.
• Understanding of software architecture, testing, deployment, monitoring, and operational excellence.
• Experience working with structured, semi-structured, and time-series industrial data.
• Strong data visualization, storytelling, and stakeholder communication skills.

Domain Knowledge

• Experience in Oil & Gas, energy, industrial operations, manufacturing, or related sectors is strongly preferred.
• Ability to combine domain understanding with analytical and engineering expertise to solve practical business problems.
• Understanding of operational workflows, reliability, production optimization, asset performance, or related industrial challenges is advantageous.

Leadership & Collaboration

• Demonstrated ability to contribute effectively within cross-functional and geographically distributed teams.
• Strong critical thinking, systems thinking, and problem-solving capabilities.
• Ability to balance experimentation with disciplined execution.
• Experience working in Agile delivery environments.
• Ability to influence technical direction through evidence, collaboration, and demonstrated results.

Desired Mindset & Ways of Working

Successful candidates will demonstrate behaviors aligned with the culture and aspirations of Baker Hughes. In particular, we value individuals who:

• Embrace change and continuously learn in rapidly evolving technology environments.
• Innovate courageously and challenge conventional approaches when better solutions exist.
• Focus on delivering measurable business outcomes rather than solely producing technical outputs.
• Build trust through transparent communication, active listening, and effective collaboration across multidisciplinary and global teams.
• Create value for customers and stakeholders through practical, impactful solutions.
• Apply sound scientific, analytical, and engineering principles while balancing experimentation, rigor, and execution.
• Demonstrate ownership, accountability, and a willingness to see solutions through from inception to operational adoption.
• Approach ambiguity with curiosity and confidence, creating clarity where it does not yet exist.

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities.
• Comprehensive private medical care options.
• Safety net of life insurance and disability programs.
• Tailored financial programs.
• Additional elected or voluntary benefits.

The Baker Hughes internal title for this role is: Digital Technology Specialist - Data Science

About Us

We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.

Join Us

Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.

Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.