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

Consumer Discretionary

11-50 (30)

6 open positions

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Senior Data Scientist

3 months, 1 week ago

Uzbekistan, Egypt, Pakistan

Full-time

Senior

Data Scientist

Data Science and Analytics

AWS Azure CI/CD Docker GCP Git GitHub Kubernetes Machine Learning MLOps Python PyTorch Scikit-learn Serverless SQL TensorFlow

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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

View All Jobs 6

Description

Lead the design, development, deployment, and optimization of advanced machine learning models for complex use cases such as recommendation systems, fraud detection, customer segmentation, and demand forecasting.
Partner with data engineers and product teams to ensure models are scalable, reliable, and aligned with business needs.
Own end-to-end model deployment into production environments using Kubernetes and cloud platforms such as AWS and GCP.
Define and manage MLOps practices, including model monitoring, automated retraining, and CI/CD for ML pipelines.
Automate model training, validation, and deployment workflows to improve reliability and efficiency.
Ensure data quality, consistency, and readiness for advanced analytics and modeling.
Translate complex data insights into business impact and communicate ROI to stakeholders.
Mentor junior data scientists and analysts, providing technical guidance and career development support.
Collaborate with engineering and product leadership to shape the data science strategy.
Stay current on emerging AI/ML trends, tools, and research and advocate for relevant adoption.

Requirements

5+ years of experience in data science with 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 ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Strong knowledge of deployment tools such as Docker, Kubernetes, and cloud platforms.
Strong understanding of statistical analysis, hypothesis testing, and data visualization.
Knowledge of cloud serverless technologies such as AWS Lambda, GCP Functions, or Azure Functions.
Strong familiarity with GCP is a plus.
Prior experience deploying ML solutions in e-commerce or high-growth environments is highly desirable.
Experience mentoring or leading junior data scientists.
Familiarity with Git and GitHub.
Experience with Dataform is required.
Exposure to fast-scaling startup or tech environments is a strong plus.

Interested in this position?

Apply directly on the company website

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