Senior Data Scientist

In this role, you will collaborate closely with one of our esteemed clients—a globally recognized leader in their industry, distinguished by their commitment to excellence, innovation, and delivering exceptional value. As a trusted IT consulting partner, Dautom is supporting their strategic initiatives by connecting them with exceptional talent to drive business growth and transformation. About the role : Role Name : Senior Data Scientist / Data Science Manager - AI & Generative AI Job Location : Jeddah, KSA (onsite) We are looking for an experienced Senior Data Scientist / Data Science Manager to join our team and take a leading role in delivering advanced AI and Data Science projects. This is a senior, client-facing position requiring a strong combination of technical depth, business understanding, and consulting skills. We are looking for someone who can go beyond receiving requirements and implementing them - someone who can understand the business problem, challenge assumptions, bring their own point of view, and recommend the right technical approach. Key Responsibilities : Lead AI & Data Science projects : • Take technical ownership of complex Data Science, AI, and Generative AI projects from problem definition through delivery. • Translate business challenges into appropriate AI/ML solutions, architectures, models, and use cases. • Evaluate different technical approaches and recommend solutions based on business value, feasibility, scalability, and performance Act as a trusted technical advisor : • Work directly with clients to understand their objectives rather than simply implementing predefined requirements. • Challenge requirements and assumptions when needed and propose alternative approaches where they would lead to better outcomes. • Bring a strong point of view on AI and Data Science topics and confidently explain the rationale behind technical recommendations. Drive Generative AI & AI Agent solutions : • Design and guide the implementation of Generative AI and AI Agent solutions, including the selection of appropriate models, architectures, tools, and frameworks. • Assess GenAI use cases and determine the right approach based on the client's requirements and environment. • Stay current with developments across Generative AI, LLMs, agentic AI, and the broader AI ecosystem, and translate relevant developments into practical client solutions. Qualifications & experience : • Senior-level experience in Data Science, Machine Learning, AI, or a related field, with a proven track record of owning and delivering complex AI/Data Science projects. • Master's degree in Machine Learning, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field. • Strong hands-on technical background across Machine Learning, Data Science, and AI. • Strong practical knowledge of Generative AI, Large Language Models (LLMs), and AI Agents / agentic AI architectures. • Experience translating business problems into technical AI/ML solutions and selecting the appropriate models, architectures, and approaches. • Strong understanding of data processing, modeling, algorithms, and data architecture. • Experience working in a consulting or highly client-facing environment is strongly preferred. • Strong understanding and practical experience with Microsoft Azure and the Microsoft ecosystem is highly preferred. • Experience with relevant Azure AI and data services is considered a strong advantage. For more details, please inbox - [email protected] Show more Show less

Senior-level experience in Data Science, Machine Learning, AI, or a related field, with a proven track record of owning and delivering complex AI/Data Science projects. Master's degree in Machine Learning, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field. Strong hands-on technical background across Machine Learning, Data Science, and AI. Strong practical knowledge of Generative AI, Large Language Models (LLMs), and AI Agents / agentic AI architectures. Experience translating business problems into technical AI/ML solutions and selecting the appropriate models, architectures, and approaches. Strong understanding of data processing, modeling, algorithms, and data architecture. Experience working in a consulting or highly client-facing environment is strongly preferred. Strong understanding and practical experience with Microsoft Azure and the Microsoft ecosystem is highly preferred. Experience with relevant Azure AI and data services is considered a strong advantage.