Data Scientist

• Architect and implement LLM-based agentic systems including the customer support troubleshooting, analytics, and content-generation tools.**
• Build RAG pipelines combining structured and unstructured sources (knowledge base, FAQs, policies), optimizing for latency, factuality, and grounding.**
• Develop evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to measure helpfulness, factual accuracy, coverage, and coherence.****
• Collaborate with product and UX teams to define prompt hierarchies, tool-calling logic, and conversational workflows that handle multi-turn reasoning.**
• Drive fine-tuning or parameter-efficient adaptation (LoRA, PEFT) of LLMs for commerce-specific reasoning and multilingual support (Arabic & English).**
• Contribute to the GenAI Suite: product description generation, email and blog content creation, landing page design, and brand-aware tone control.**
• Lead experimentation on new LLM orchestration frameworks (LangGraph, semantic routers) and scalable deployment using Bedrock, SageMaker, or Vertex AI.**
• Mentor junior data scientists and define best practices for versioning, prompt evaluation, and observability (e.g., LangFuse, MLflow, Grafana).

Senior Data Scientist – Generative AI

Senior Data Scientist