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Chief Scientist

Job Summary

SABIC is looking for a high energy, technically creative leader in Applied Statistics and Data Sciences who is seeking the opportunity to use his/her competencies in broad based application areas from product development to process optimization, reliability as well as digitalization.

The individual must have the ability to work seamlessly across multiple research centers and business units around the globe, lead research and development projects, shape technology strategy, create innovation platforms and provide subject matter expertise leveraging external collaboration with universities and third parties.


How You Can Be the Impact

(Job Responsibilities)


  • Lead multidisciplinary teams promoting best practices in research methodology, leading the application of statistical methodology, providing statistical direction on high-level priority projects and developing approaches for nonstandard statistical problems.
  • Provide expertise and guidance on complex problems supporting statistical methods in combination with machine learning and big data technology in manufacturing across SABIC.
  • Provide expertise in a variety of multivariate and experimental design methods leading to the development or improvement of products or processes.
  • Participate in the assessment and introduction of new data technology supporting digitalization and automation efforts for application to a broader practice within the organization.
  • Directs, coaches and mentors multidisciplinary teams to carry out advanced statistical analysis in combination with first-principle models, machine learning and artificial intelligence.
  • Shape technology strategy and coordinate training and deployment of key statistical concepts for scientist and engineers, as well as teaching seminars in applied statistical methods, data mining, multivariate analysis and design of experiments.
  • Coordinate collaboration with Universities, research institutions, external consortiums or 3rd party technology providers.



What Matters to SABIC

(Job Requirements)

  • Degrees: PhD or Postdoc in Statistics, Analytics or related discipline and minimum of 15 years of relevant experience
  • Demonstrated Technical Leadership skills
  • Demonstrated ability to develop and implement statistical models, machine learning and analytics to support product/process improvements and business decisions.
  • Demonstrated experience in predictive modeling, statistics, machine learning to collect, explore and extract insight from structured and unstructured data.  Experience with statistical applications in chemistry and engineering.
  • Demonstrated experience in use of data based models or hybrid models (combination of first principles and data-based models) to optimize industrial processes
  • Proficiency with statistical software packages including SAS and JMP would be a plus.
  • Excellent technical, written and verbal communication skills; able to deliver technical messages effectively to non-technical stakeholders and team members
  • Excellent interpersonal and teamwork skills; ability to work effectively with individuals at all levels of the organization and across functional disciplines and geographies (e.g. business leaders, technicians, chemists, chemical engineers, and manufacturing teams).


Physical Requirements:  N/A.                    


Eligibility Requirements

  • You must submit your application for employment online to be considered. Please submit your resume using the “Apply Now/Apply” option on this page.
  • You must be 18 years or older
  • Applicants must be currently authorized to work for SABIC in the United States on a full-time basis.


Work Availability

Regular, predictable attendance is an essential function of this position. Applicants must be regularly available and willing to work during assigned hours of operation and such other hours as the company determines are necessary or desirable to meet business needs


We are proud to be a diverse and an equal opportunity employer .We are fully committed to a culture of respect and inclusion.

Nearest Major Market: Houston