We are seeking a highly skilled and visionary Lead Data Scientist with deep expertise in Generative AI to lead high-impact initiatives at the frontier of AI innovation. This role requires a unique blend of advanced technical skills, domain specialization, leadership ability, and a passion for delivering real-world impact. You will guide a small team of talented data scientists and work collaboratively across engineering and product teams to design, build, and deploy intelligent, domain-specific multi-agent systems.
What will your job look like?
Lead the design of complex, domain-specialized multi-agent Generative AI systems.
Provide technical mentorship and leadership to a team of 3-4 data scientists.
Drive hands-on research and rapid prototyping in areas including LLM fine-tuning, prompt engineering, agentic workflows, and self-improving systems.
Collaborate with product managers, engineers, and domain experts to identify opportunities and deliver AI-driven features and products.
Evaluate and integrate state-of-the-art models and tools from the GenAI ecosystem, including open-source and proprietary solutions.
Translate research outcomes into actionable product features and influence AI strategy and roadmap.
Maintain high standards for scientific rigor and data integrity throughout the development lifecycle.
Requirements: Masters degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
8+ years of experience in data science, with proven leadership in delivering impactful AI products.
Deep experience with Generative AI, including LLMs fine tuning and evaluation.
Strong programming skills in Python and experience with GenAI libraries (e.g., Langraph/LangChain, OpenAI, RAG pipelines).
Familiarity with software architecture and engineering practices
Strong communication skills and the ability to mentor and inspire a technical team.
proved practical experience moving from a POC to production.
This position is open to all candidates.