Senior Data Scientist

Scarab Dev

Saudi Arabia

Remote

SAR 300,000 - 500,000

Full time

40 hours ago
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Job summary

Scarab Dev in Saudi Arabia is seeking a senior data scientist to develop predictive models and analytical solutions that support decision-making, asset monitoring, and operational optimization. You will lead end-to-end model development from data exploration to deployment.

The role requires 6–10 years of experience, fluency in Arabic and English, and strong proficiency in Python or R, ML frameworks such as TensorFlow or PyTorch, and statistics.

Qualifications

  • 6–10 years of hands-on experience in data science or ML roles.
  • Strong programming skills in Python or R.
  • Fluent in Arabic and English (written and spoken).
  • Experience with large enterprise or government projects preferred.
  • Exposure to energy, utilities, or infrastructure domains is an advantage.
  • Immediate or short-notice availability preferred.

Responsibilities

  • Build machine learning models for predictive analytics.
  • Lead data exploration, feature engineering, and model tuning.
  • Collaborate with data engineers on data preparation.
  • Deploy models into production environments.
  • Support AI-driven use cases across applications.

Skills

Python
R
Machine Learning
TensorFlow
PyTorch
Statistics
Data Visualization

Tools

TensorFlow
PyTorch

Job description

Develop predictive models and analytical solutions to support decision-making, asset monitoring, and operational optimization.

Experience

6–10 years

Key Responsibilities
  • Build machine learning models for predictive analytics
  • Lead data exploration, feature engineering, and model tuning
  • Collaborate with data engineers on data preparation
  • Deploy models into production environments
  • Support AI-driven use cases across applications
Required Skills

Python or R, Machine Learning, TensorFlow/PyTorch, Statistics, Data Visualization

Requirements
  • Fluency in Arabic and English (written and spoken)
  • Experience on large enterprise or government projects preferred
  • Exposure to energy, utilities, or infrastructure domains is an advantage
  • Immediate or short-notice availability preferred
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