Soum

Soum

Soum is a fast-growing recommerce marketplace redefining buying and selling of used electronic devices in MENA with trust, security, and money-back guarantee.

Household Durables
11-50

Description

  • Design, develop, optimize, and deploy advanced machine learning models for use cases such as recommendations, fraud detection, segmentation, and demand forecasting.
  • Partner with data engineering and product teams to deliver scalable, reliable models aligned with business needs.
  • Own production model deployment using Kubernetes and cloud platforms.
  • Define MLOps practices for model monitoring, automated retraining, and CI/CD pipelines.
  • Automate model training, validation, and deployment workflows.
  • Maintain data quality, consistency, and readiness for analytics and modeling.
  • Translate data insights into measurable business impact and communicate ROI to stakeholders.
  • Drive adoption of analytics and data-driven decision-making across teams.
  • Mentor junior data scientists and analysts.
  • Collaborate with engineering and product leadership on data science strategy and relevant AI/ML adoption.

Requirements

  • 5+ years of data science experience, including hands-on ML model development and deployment.
  • 3+ years of experience in data analytics, statistical modeling, and experimentation.
  • Proficiency in Python and SQL.
  • Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.
  • Experience designing and maintaining production-grade ML systems.
  • Knowledge of Docker, Kubernetes, cloud platforms, and MLOps best practices.
  • Strong knowledge of statistical analysis, hypothesis testing, and data visualization.
  • Experience with cloud-serverless technologies, including AWS Lambda, GCP Functions, or Azure Functions.
  • Proficiency with Dataform.
  • Familiarity with Git and GitHub.
  • Experience mentoring or leading junior data scientists.
  • GCP familiarity, ML deployment experience in e-commerce or high-growth environments, and startup or tech exposure are preferred.
  • Ability to work remotely from Egypt, Uzbekistan, or Pakistan during Sunday–Thursday, 9:00 AM–6:00 PM Saudi Arabian Time.

Interested in this position?

Apply directly on the company website

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