About the role
Role: Senior Data Scientist
Location: Egypt, Uzbekistan, and Pakistan (Remote)
Work Week: Sunday – Thursday
Work Timings: 9:00 AM – 6:00 PM (Saudi Arabian Time Zone)
Overview:
We’re looking for a Senior Data Scientist to lead the development and deployment of advanced machine learning models that power critical business decisions. In this role, you’ll drive end-to-end ownership of ML solutions, from design and optimization to deployment and monitoring in production environments. You’ll also play a key role in shaping our data science strategy, mentoring junior team members, and ensuring that analytics insights translate into measurable business impact. This is a high-visibility role where your expertise will directly influence product innovation and growth.
Role & Responsibilities: • Model Development and Optimization: • 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. • Deployment and Integration: • 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. • Analytics Strategy & Enablement: • 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. • Leadership & Collaboration: • 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. • Familiarity to work with Git and GitHub. • Dataform is a must
Experience: • 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
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