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