Senior Data Scientist

Role: Senior Data ScientistLocation: Egypt, Uzbekistan, and Pakistan (Remote)Work Week: Sunday - ThursdayWork 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 forecastingPartner with data engineers and product teams to ensure models are scalable, reliable, and aligned with business needsContinuously optimize algorithms for performance, accuracy, and efficiencyDeployment 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 pipelinesChampion automation of model training, validation, and deployment workflows to improve system reliabilityAnalytics Strategy & Enablement:Act as a custodian of organizational data, ensuring data quality, consistency, and readiness for advanced analytics and modelingTranslate complex data insights into business impact, clearly communicating ROI to stakeholdersDrive adoption of analytics and data-driven decision-making across teams by mentoring and enabling business stakeholdersLeadership & Collaboration:Mentor junior data scientists and analysts, providing technical guidance and career development supportCollaborate closely with engineering and product leadership to shape the company’s data science strategyStay ahead of emerging AI/ML trends, tools, and research, and advocate for their adoption when relevantRequirements:Proficiency in Python and SQL, with hands-on expertise in ML frameworks such as TensorFlow, PyTorch, Scikit-learnStrong knowledge of deployment tools (Docker, Kubernetes, cloud platforms) and MLOps best practicesProven ability to design and maintain production-grade ML systemsDeep understanding of statistical analysis, hypothesis testing, and data visualizationKnowledge of cloud-serverless technologies (AWS Lambda, GCP Functions, Azure Functions)Strong familiarity with GCP is a plusPrior experience deploying ML solutions in E-commerce or high-growth environments is highly desirableFamiliarity to work with Git and GitHubDataform is a mustExperience:5+ years in data science, including hands-on ML model development and deployment3+ years in data analytics, statistical modeling, and experimentationExperience mentoring or leading junior data scientistsExposure to fast-scaling startup or tech environments is a strong plusWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.