Category
Analysts
Publish Date
Sunday 28-12-2025
Country
Egypt
Gender
any
Years Of Experience
10-15 Years
Salary
Negotiable
"Lead Data Scientist" is required for a Multinational Software Service company in New Cairo.
Responsibilities:
- Senior individual contributor role with ownership of defining analytical approaches and scoping complex data science projects.
- Responsibility for end-to-end data science workflows, from problem definition to production, without people management.
- Leadership in solving highly complex and ambiguous business problems using advanced analytics.
- Development of advanced predictive and prescriptive models leveraging statistics, machine learning, deep learning, and GenAI.
- Technical leadership across projects and industries, including setting technical direction in partnership with product managers.
- Strong cross-functional collaboration with data engineers, product managers, and business stakeholders.
- Deep data exploration and feasibility analysis to guide feature engineering and model design.
- Hands-on involvement in model deployment and optimization to ensure scalability, performance, and reliability in production.
- Technical mentorship through code and model reviews and guidance on best practices (without direct management).
- Clear and effective communication of complex insights and trade-offs to both technical and non-technical audiences.
- Continuous learning and application of emerging data science, machine learning, and GenAI advancements to improve solution quality and deliveryspeed.
Requirements:
- Minimum of 8 years of experience in data science, machine learning, or applied analytics.
- Fluent English (mandatory).
- Expertise in programming languages such as Python and SQL.
- Strong understanding of advanced statistical methods, machine learning, deep learning, and GenAI techniques.
- Proven ability to scope, architect, and technically lead complex data science projects without direct management responsibilities.
- Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
