Digital Technology Specialist Data Science

About the Role

Baker Hughes is seeking a Digital Technology Specialist in Data Science to join their team in Dhahran, Eastern region. This full-time role is for individuals who combine strong scientific and engineering fundamentals with curiosity, adaptability, and a bias for execution. The specialist will contribute to the organization's increasing adoption of AI-enabled and agentic ways of working, requiring the ability to rapidly learn emerging technologies and collaborate across disciplines.

Responsibilities

• 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.

Qualifications and Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Physics, Information Systems, or another STEM discipline.
• Minimum of 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.

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, and containerization technologies (Docker, 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 and Collaboration

• 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.
• 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.

Work Environment and Culture

Baker Hughes values individuals who embrace change, continuously learn, innovate courageously, and focus on delivering measurable business outcomes. The company fosters an environment that builds trust through transparent communication, active listening, and effective collaboration across multidisciplinary and global teams. Candidates should demonstrate ownership, accountability, and a willingness to see solutions through from inception to operational adoption, approaching ambiguity with curiosity and confidence.