D&I Data Scientist

Location: Tripoli, Libya

Department: Product & Service Delivery Direct

Work Location: onsite

Entry-Level Data Scientist

Location:

Libya

Employment Type:

Full-time

Job Summary

We are looking for a motivated Entry-Level Data Scientist to join our team in Libya. This role focuses on researching and solving open-ended data problems, developing algorithms, and applying machine learning and data-driven modeling to complex systems. This position offers hands-on experience in machinery diagnostics, predictive modeling, and industrial optimization.

Key Responsibilities

• Conduct research and tackle open-ended data problems and questions

• Develop and implement new algorithms for data analysis and system optimization

• Assess next-generation technologies for machinery diagnostics and prognostics

• Apply machine learning algorithms and population-based meta-heuristic optimization methods

• Process and analyze large, multivariate datasets from equipment operations and manufacturing tests

• Develop data-driven algorithms for anomaly detection, failure prediction, and system optimization

• Collaborate with field and product engineers to identify key system health monitoring parameters

• Generate innovative ideas, establish new research directions, and execute technical projects

• Apply theoretical knowledge to solve real industrial problems

• Communicate ideas, plans, and results effectively via oral and written reports

• Contribute to technical discussions and maintain state-of-the-art knowledge in relevant fields

What We Offer

• Hands-on experience in data science, predictive modeling, and industrial analytics

• Mentoring from experienced data scientists and engineers

• Exposure to real-world projects and industrial problem-solving

• Career development opportunities in data-driven solutions and research

• Collaborative and supportive work environment

Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Physics, or a related quantitative field

• Basic knowledge of machine learning algorithms and optimization methods

• Familiarity with data analysis, data processing, and algorithm development

• Strong analytical, problem-solving, and computational skills

• Good communication and teamwork abilities

• Motivation to learn and grow in data science and industrial applications

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.