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Senior Data Scientist

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🌟 Senior Data Scientist 🌟


📍 Abu Dhabi (UAE-based)

💼 Contract Role | In-Country Delivery

🛢️ Energy • Real-Time Well Data • Advanced Modeling


💡 Job Information

We’re seeking a Senior Data Scientist based in the UAE—preferably Abu Dhabi—to support real-time well data analysis, model validation, and rapid iteration between In-Country and U.S.-based engineering teams.


This role plays a critical part in ensuring that live well data streams are accurately interpreted, model outputs remain reliable, and operational insights are quickly actioned. You will serve as the on-the-ground technical bridge, validating performance, identifying anomalies, tuning parameters, and generating high-quality metrics that accelerate global model improvement cycles.


This position requires exceptional analytical thinking, deep domain understanding, and the ability to communicate technical findings clearly across geographically distributed teams.


🧭 Key Responsibilities

  • Access, analyze, and interpret live well data from in-country systems
  • Validate machine learning model outputs and ensure alignment with operational expectations
  • Tune local parameters to optimize predictive performance in field conditions
  • Identify anomalies, data drift, and data quality issues in near real time
  • Generate high-quality error metrics and structured evaluation reports
  • Collaborate closely with U.S.-based scientists and engineers to accelerate model iteration
  • Produce clear, thorough technical documentation to support cross-team workflows
  • Communicate findings, concerns, and recommendations with precision and clarity


🎯 Ideal Candidate Profile

  • Must be based in the UAE (Abu Dhabi strongly preferred)
  • Senior-level experience in data science, ML modeling, or applied analytics
  • Strong understanding of time-series data, anomaly detection, and model validation workflows
  • Experience working with operational or real-time industrial data (energy sector is a plus)
  • Ability to independently evaluate models, tune parameters, and assess data quality
  • Excellent written and verbal communication skills for U.S. and in-country collaboration
  • Detail-oriented, structured, and highly reliable in fast-moving technical environments

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