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Data Scientist Specialist

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: aramco
Full Time position
Listed on 2026-09-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 340000 - 534000 QAR Yearly QAR 340000.00 534000.00 YEAR
Job Description & How to Apply Below

JOB TO BE BASED IN KINGDOM OF SAUDI ARABIA

Overview

We are seeking a Data Scientist Specialist to our Downstream Transformation & Business Excellence Department (DST&BED). DST&BED empowers the Downstream Admin Areas with advanced analytics, digital tools, and data-driven insights to improve reliability, optimize operations, accelerate decision-making, and enable strategic digital transformation. The organization is responsible for designing advanced analytical models, developing scalable digital solutions, and supporting enterprise-level digital programs.

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 analytical techniques such as deep learning, time-series modelling, anomaly detection, and optimization algorithms.
  • Validate, test, and refine models to ensure accuracy, reliability, and stability.
  • Prepare technical documentation and present analytical results to stakeholders.
  • Support integration of models into digital platforms and operational systems.
  • Evaluate emerging data science methods and recommend approaches that improve model performance.
  • Collaborate with engineers, analysts, and solution architects to translate operational challenges
Minimum Requirements
  • You will hold a Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or a related field from a recognized and approved program.
  • You will have 15 years of experience in data science or advanced analytics, including at least 10 years working on industrial analytics or digital solutions.
  • Candidates must have clearly demonstrated Downstream and/or Oil & Gas industry experience
  • You will have strong knowledge of machine learning, statistical modelling, and data engineering techniques.
  • You must have proven experience developing and deploying models into production environments.
  • You will be able to demonstrate proficiency in Python or similar programming languages.
  • Experience with cloud platforms, databases, and visualization tools is preferred.
  • You will have the ability to translate complex data concepts into business insights.

REGRET ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

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