Data Scientist Specialist (SA)

Saudi Aramco
Saudi Arabia
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 15+ yearsEducation: bachelorsSkills: ["Communication with stakeholders","Collaboration"]

Design, develop, and operationalize advanced machine learning models for downstream optimization, predictive maintenance, and performance enhancement. Use complex datasets with statistical and AI techniques to create measurable value across operational areas. Own the full model lifecycle—data quality, cleansing, deep learning/time-series/anomaly detection/optimization, validation and refinement—then document findings and support integration of models into digital platforms and operational systems.

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FursaFursa
Saudi Aramco
Saudi Aramco
7 months ago

Data Scientist Specialist (SA)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, develop, and operationalize advanced machine learning models for downstream optimization, predictive maintenance, and performance enhancement. Use complex datasets with statistical and AI techniques to create measurable value across operational areas. Own the full model lifecycle—data quality, cleansing, deep learning/time-series/anomaly detection/optimization, validation and refinement—then document findings and support integration of models into digital platforms and operational systems.
Location: Saudi Arabia
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop machine learning, statistical, and predictive models for downstream operational use cases.
  • •Assess data quality, perform data cleansing, and prepare datasets for model development.
  • •Explore advanced analytics including deep learning, time-series modelling, anomaly detection, and optimization algorithms.
  • •Validate, test, and refine models to ensure accuracy, reliability, and stability.
  • •Prepare technical documentation, present results to stakeholders, and support integration of models into digital platforms and operational systems.

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from a recognized and approved program.
  • •15 years of experience in data science or advanced analytics, including at least 10 years in industrial analytics or digital solutions.
  • •Strong knowledge of machine learning, statistical modelling, and data engineering techniques.
  • •Proven experience developing and deploying models into production environments.
  • •Proficiency in Python or similar programming languages.
Experience:15+ yearsIndustrial analyticsDigital solutions
Education:Bachelor's
Skills:Communication with stakeholdersCollaboration
Tech Stack:Python

Company Brief

Saudi Aramco
State-owned integrated energy and chemicals company producing and marketing crude oil, natural gas and petrochemicals globally, with major investments in energy infrastructure, refining and low‑carbon technologies.
Industry: Oil & Gas
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dhahran, Saudi Arabia
Founded: 1933
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