Senior Data Scientist

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 Originally posted on Himalayas