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Data Scientist

AXO

Qatar · पूरा समय

अप्लाय करने वाले प्रथम बनिए

अनुभव
13+ yrs
वेतन
उद्घाटन
1
की तैनाती
2 सप्ताह पहले
कार्य मोड
कार्यालय में हूँ
शिक्षा
Master's degree or PhD
पात्रता
Experienced professionals with a master’s degree or PhD in a quantitative discipline, advanced data science or AI certification, and 13+ years of relevant analytics and modeling experience, preferably in utility, smart grid, or AMI environments.
फिर शुरू करना
आवेदन करना आवश्यक है

नौकरी का विवरण

Role Overview

AXO is looking for a highly experienced Data Scientist to lead advanced analytics initiatives in Qatar, with a strong focus on utility-scale data, smart grid environments, and AMI-based infrastructure. This position calls for deep expertise in statistical modeling, machine learning, and operational optimization for large data-driven systems.

Minimum Eligibility Criteria

  • A master’s degree or PhD in Data Science, Artificial Intelligence, Computer Science, or another closely related quantitative field.
  • A professional certification in advanced data science, machine learning, or artificial intelligence, backed by hands-on deployment experience.
  • At least 13 years of advanced experience in analytics and statistical modeling, with a strong preference for candidates who have worked in utility data, smart grids, or AMI systems.

Responsibilities

  • Develop, validate, optimize, and deploy production-ready machine learning models and advanced predictive or prescriptive statistical solutions to improve large-scale utility grid operations.
  • Run sophisticated predictive analysis on large data flows generated by Advanced Metering Infrastructure (AMI) platforms.
  • Create tailored analytical models for anomaly detection, automated tamper alerts, grid demand forecasting, and identification of non-technical losses in infrastructure.
  • Deliver practical technical recommendations that improve the information flow between Handshake-to-HES (Head-End System) and MDM (Meter Data Management) systems.

Additional Information

Location for this role is Qatar. The position is full-time and onsite. No stipend or salary amount was provided in the source.

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