Downstream Data Scientist (SA)

Saudi Aramco
Saudi Arabia
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 15+ yearsEducation: bachelorsSkills: ["Translating complex data into business insights","Collaboration"]

Design, develop, and operationalize advanced machine learning models to improve downstream optimization, predictive maintenance, and performance. Work with complex datasets using statistical and AI methods such as deep learning, time-series modeling, anomaly detection, and optimization algorithms. Validate, test, and refine models for accuracy and stability, document findings for stakeholders, and support integration into digital platforms and operational systems.

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FursaFursa
Saudi Aramco
Saudi Aramco
1 day ago

Downstream Data Scientist (SA)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Design, develop, and operationalize advanced machine learning models to improve downstream optimization, predictive maintenance, and performance. Work with complex datasets using statistical and AI methods such as deep learning, time-series modeling, anomaly detection, and optimization algorithms. Validate, test, and refine models for accuracy and stability, document findings for stakeholders, and support integration 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, cleanse data, and prepare datasets for model development.
  • •Explore advanced analytical techniques such as deep learning, time-series modeling, anomaly detection, and optimization algorithms.
  • •Validate, test, and refine models to ensure accuracy, reliability, and stability.
  • •Support integration of models into digital platforms and operational systems, and present results to stakeholders.

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • •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 modeling, and data engineering techniques.
  • •Proven experience developing and deploying models into production environments.
  • •Proficiency in Python (or similar programming languages).
Experience:15+ yearsIndustrial analyticsDigital solutionsData science
Education:Bachelor's in Computer Science, Data Science, Engineering, Mathematics, or a related field
Skills:Translating complex data into business insightsCollaboration
Tech Stack:PythonDeep learningTime-series modellingAnomaly detectionOptimization algorithms

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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Glassdoor: 4.2
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