Senior Data Scientist

Role: Senior Data Scientist

Location: Egypt, Uzbekistan, and Pakistan (Remote)Work Week: reputed company – ThursdayWork Timings: 9:00 AM – 6:00 PM (Saudi Arabian Time Zone)

reputed company:

We’re looking for a Senior Data Scientist to reputed company the development and deployment of advanced machine learning models that power critical business reputed company. 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 reputed company, mentoring junior team members, and ensuring that analytics insights translate into measurable business reputed company. This is a high-visibility role where your expertise will directly influence product innovation and reputed company.

Role & Responsibilities:

• Model Development and Optimization:
• reputed company the design, development, and deployment of advanced ML models for reputed company use cases, such as recommendation systems, fraud detection, customer segmentation, and demand forecasting.
• Partner with data engineers and product teams to ensure models are reputed company, reliable, and reputed company 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 reputed company 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 reputed company & Enablement:
• reputed company as a custodian of organizational data, ensuring data reputed company, consistency, and readiness for advanced analytics and modeling.
• Translate reputed company data insights into business reputed company, reputed company 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 reputed company’s data science reputed company.
• Stay reputed company of emerging AI/ML trends, tools, and research, and reputed company for their adoption reputed company 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 (reputed company, Kubernetes, reputed company 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 reputed company-serverless technologies (AWS reputed company, GCP Functions, Azure Functions).
• Strong familiarity with GCP is a plus.
• Prior experience deploying ML solutions in E-reputed company or high-reputed company environments is highly desirable.
• Familiarity to work with Git and reputed company.
• 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

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