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Data Scientist

AXO

Qatar · ಪೂರ್ಣ ಸಮಯ

ಅರ್ಜಿ ಸಲ್ಲಿಸುವವರಲ್ಲಿ ಮೊದಲಿಗರಾಗಿರಿ

ಅನುಭವ
13+ yrs
ಸಂಬಳ
ತೆರೆಯುವಿಕೆಗಳು
1
ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
1 ಗಂಟೆ ಹಿಂದೆ
Work mode
ಕಚೇರಿಯಲ್ಲಿ
ವಿದ್ಯಾಭ್ಯಾಸ
Master's degree or PhD
Eligibility
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.
Resume
Required to apply

ಕೆಲಸದ ವಿವರ

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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