Data Scientist (Generative AI) Lead

• Were looking for a data-science leader who can turn raw data into clear insight and innovative AI products. You ll own projects end-to-end from framing business questions and exploring datasets to deploying and monitoring models in the cloud. Along the way you ll introduce generative-AI ideas such as chat assistants and retrieval-augmented search, steer a small team of data professionals, and work closely with product, engineering, and business stakeholders to deliver measurable value.

Key Responsibilities

• Design and build predictive & forecasting models that drive measurable impact. Plan and run A/B experiments to validate ideas and guide product decisions. Develop and maintain data pipelines that ensure clean, trusted, and timely datasets.
• Lead generative-AI initiatives (e.g., LLM-powered chat, RAG search, custom embeddings).
• Package, deploy, and monitor models using modern MLOps practices in public cloud. Establish monitoring & alerting for accuracy, latency, drift, and cost. Mentor and coach the team, conducting code reviews and sharing best practices.
• Translate complex findings into clear, action-oriented stories for non-technical audiences.
• Ensure data governance and privacy across all projects, meeting internal and industry standards.
• Continuously evaluate new tools & methods, running quick PoCs to keep solutions cutting-edge.

Core Skills & Experience

• Solid foundation in statistics, experiment design, and end-to-end ML workflows.
• Strong Python and SQL; proven record of moving models from notebook to production.
• Hands-on cloud experience (AWS, Azure, or GCP) with container-based deployment and CI/CD.
• Practical exposure to generative-AI projects prompt engineering, fine-tuning, or retrieval-augmented pipelines.