Digital Technology Specialist - Data Science

Baker Hughes; Dhahran Compound; On-site; SAR 300,000 - 460,000; Full time

Benefits offered by this job

Contemporary work-life balance

Private medical care

Life insurance & disability

Financial programs

Additional benefits

Job summary

Baker Hughes seeks a Digital Technology Specialist - Data Science to design, build, and deploy end-to-end data and AI solutions that drive measurable business impact across oilfield operations. You will work with data engineers and platform teams to ensure data quality and scalable production systems, collaborating with domain experts to embed operational constraints.

The role emphasizes learning emerging technologies, contributing across the solution lifecycle, and delivering value in an Agile,

Qualifications

• Bachelor's degree in a STEM field.
• Minimum 4 years of professional experience in data science, ML, analytics, software engineering or related field.
• Experience delivering solutions from concept through production deployment.
• Strong programming and software engineering fundamentals.
• Ability to learn new technologies quickly.

Responsibilities

• Identify 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 with measurable business impact.
• Translate analytical concepts into scalable, reliable production systems.
• Contribute across full solution lifecycle including requirements, experimentation, development, deployment, monitoring, and improvements.
• Collaborate with domain experts to incorporate operational context into solution design.
• Leverage modern AI-assisted development and emerging technologies to accelerate delivery.
• Work with data engineers and platform teams to ensure data quality, reliability, and observability.
• Evaluate new technologies and methodologies for business value.
• Communicate findings to technical and non-technical stakeholders.
• Contribute within Agile teams across locations and time zones.
• Document and share best practices to improve team effectiveness.

Skills

Python

TypeScript

Go/Rust

AWS

Databricks

CI/CD

Docker

Kubernetes

ML/AI

Data visualization

Stakeholder comms

Education

Bachelor's degree in Computer Science/Data Science/Engineering

Tools

Git

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: As a Digital Technology Specialist, you will be responsible for:

• 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. R168757