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Data Science Manager
Location: Dubai, UAE
*UAE Experience Mandatory*
Role Overview
We are looking for a Data Science Manager to lead a high-performing team focused on delivering advanced AI and analytics solutions that create tangible business outcomes. From personalized experiences to optimized decision-making systems, you will drive innovation across multiple domains. This position blends strategic leadership with hands-on technical involvement, including solution design, coding best practices, and establishing robust standards for machine learning, generative AI, and governance frameworks.
Key Responsibilities:
Team Leadership & Technical Direction
- Manage and guide a team of data scientists working on ML, GenAI, and analytics projects across diverse business areas.
- Set technical vision and uphold best practices in modeling, experimentation, and reproducibility.
- Combine leadership duties with active technical contributions such as architecture design, peer reviews, and coding.
- Oversee delivery cycles, including sprint planning, scoping, and timeline accountability.
- Monitor progress, resolve obstacles, and ensure timely completion of impactful solutions.
Cross-Functional Collaboration
- Partner with business and product leaders to align priorities and identify high-value opportunities.
- Convert strategic objectives into actionable projects and ensure proper resourcing.
- Promote data science and AI capabilities, helping stakeholders understand potential applications.
Talent Development
- Mentor and coach team members through feedback, career planning, and technical guidance.
- Support recruitment, onboarding, and continuous development within the data science function.
- Foster an inclusive, innovative, and performance-driven team culture.
Platform & Governance
- Advocate for scalable and sustainable approaches to deploying AI and GenAI solutions in production environments.
- Collaborate on improving workflows, monitoring systems, and documentation standards.
- Contribute to governance practices around model validation, explainability, and compliance.
Ideal Profile
- Demonstrated experience leading data science teams and delivering ML and GenAI-driven solutions.
- Strong hands-on skills in Python, statistical modeling, and algorithm development.
- Ability to balance technical execution with leadership and project management.
- Familiarity with agile methodologies and accountability for delivery timelines.
- Excellent communication and stakeholder management skills.
- Degree in a quantitative field or equivalent practical experience applying ML in production.
Why Join?
Be part of a progressive organization with interests spanning development, investment, and innovation. Operating at speed and scale, encouraging bold ideas and rewarding results.
If you’re ready to lead transformative AI initiatives and shape the future of data-driven decision-making, please apply today!
Key Skills
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