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Senior Data Scientist

Dautom
Jeddah, KSA
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Data ScienceMachine LearningArtificial IntelligenceGenerative AILarge Language Models (LLMs)AI Agents and agentic AI architectures

Full Job Posting

Role overview

Senior, client-facing role leading advanced AI and Data Science projects.

The role requires technical depth, business understanding, consulting skills, and the ability to recommend solutions rather than only implement predefined requirements.

Job location: Jeddah, KSA; onsite.

Project leadership and client advisory

  • Own complex Data Science, AI, and Generative AI projects from problem definition through delivery.
  • Translate business challenges into AI/ML solutions, architectures, models, and use cases; evaluate approaches for business value, feasibility, scalability, and performance.
  • Understand client objectives, challenge assumptions, propose alternatives, and explain technical recommendations.
  • Design and guide Generative AI and AI Agent implementations, selecting models, architectures, tools, and frameworks.
  • Assess GenAI use cases against client requirements and environment; track AI ecosystem developments and turn relevant advances into practical client solutions.

Qualifications and experience

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

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