Digital Technology Specialist - Data Science

Baker Hughes Company; Dhahran Compound; On-site; SAR 240,000 - 360,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Disability programs

Tailored financial programs

Wellbeing activities

Job summary

Baker Hughes in Saudi Arabia seeks a Digital Technology Specialist - Data Science to identify, frame, and solve complex business challenges using data science, ML, AI, and software engineering. You will design, deploy, and maintain end-to-end data and AI solutions that create measurable business impact.

Join a collaborative team and contribute across the full solution lifecycle—from requirements discovery and experimentation through deployment, monitoring, and continuous improvement—working with

Qualifications

• Bachelor's degree in a STEM field and strong programming fundamentals.
• Experience delivering ML/Analytics solutions from concept to production.
• Ability to learn new technologies quickly and work across disciplines.

Responsibilities

• Identify, frame, and solve complex business challenges using data science, ML, AI, optimization, and software engineering.
• Design, develop, test, deploy, and maintain end-to-end data and AI solutions with measurable impact.
• Collaborate with domain experts to incorporate context and requirements into solution design.

Skills

Python

Production-grade software

Cloud-native technologies

AI/ML

LLMs familiarity

Data visualization

Stakeholder communication

Agile delivery

Education

Bachelor's degree in CS/Math/Engineering

Tools

Docker

Kubernetes

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:

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

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.
• 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.

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

• 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 At Baker Hughes, we are transforming the future of energy. With operations in over 120 countries, we are developing and deploying industry-leading technologies and services to take energy forward. For more than a century, our inventions have revolutionized energy. Today, we are bringing our expertise to make oil and gas safer, cleaner, and more efficient. Our people are the trusted experts, relied on to solve customer challenges big and small. 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. We believe in creating an environment of diversity and inclusion, without bias. We know we are better when all of our people are developed, engaged, and able to bring their whole authentic selves to work. We're makers, inventors, and leaders who aren't afraid of the tough challenges. We believe pushing boundaries will help to lead the way for a new energy future.