Senior Data Scientist

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September 21

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Soum

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Soum is on a mission to reimagine recommerce in the MENA region and beyond, building the most convenient, trustworthy, and transparent recommerce marketplace in the region.

11 - 50 employees

📋 Description

• Lead the design, development, and deployment of advanced ML 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. • Continuously optimize algorithms for performance, accuracy, and efficiency. • Own end-to-end model deployment processes into production environments using Kubernetes and cloud platforms (AWS, GCP). • Define and manage MLOps best practices, including model monitoring, automated retraining, and CI/CD for ML pipelines. • Champion automation of model training, validation, and deployment workflows to improve system reliability. • Act as a custodian of organizational data, ensuring data quality, consistency, and readiness for advanced analytics and modeling. • Translate complex data insights into business impact, clearly communicating ROI to stakeholders. • Drive adoption of analytics and data-driven decision-making across teams by mentoring and enabling business stakeholders. • Mentor junior data scientists and analysts, providing technical guidance and career development support. • Collaborate closely with engineering and product leadership to shape the company’s data science strategy. • Stay ahead of emerging AI/ML trends, tools, and research, and advocate for their adoption when relevant.

🎯 Requirements

• Proficiency in Python and SQL, with hands-on expertise in ML frameworks such as TensorFlow, PyTorch, Scikit-learn. • Strong knowledge of deployment tools (Docker, Kubernetes, cloud platforms) and MLOps best practices. • Proven ability to design and maintain production-grade ML systems. • Deep understanding of statistical analysis, hypothesis testing, and data visualization. • Knowledge of cloud-serverless technologies (AWS Lambda, GCP Functions, Azure Functions). • Strong familiarity with GCP is a plus. • Prior experience deploying ML solutions in E-commerce or high-growth environments is highly desirable. • 5+ years in data science, including hands-on ML model development and deployment. • 3+ years in data analytics, statistical modeling, and experimentation. • Experience mentoring or leading junior data scientists. • Exposure to fast-scaling startup or tech environments is a strong plus