Lead Data Scientist – AI

Lead Data Scientist – AI

Requirements

• 5+ years of relevant analytics experience
• Significant experience using Python and SQL in data science roles
• Familiarity with GenAI trends and technologies including major LLM provider APIs (OpenAI, Gemini, Anthropic, etc.) as well as archetypal GenAI solutions (RAG, co-pilots, document summarization, etc.)
• Passion for exploring capabilities of new AI tools and incorporating them into team’s workflow

Responsibilities

• Designing and executing AI solutions with a focus on Generative AI
• Serving as the technical lead for a portfolio of 3 to 5 AI projects
• Supporting the full project lifecycle from a data science perspective, including problem identification and value estimation, building proofs of concept, scaling to production, and post-launch monitoring

Preferred Qualifications

• Demonstrates strong ability to communicate technical concepts and implications to business partners, including experience with problem identification and business value sizing
• Experience in AI model refinement and orchestration, including prompt engineering, model fine-tuning, embedding optimization / semantic search, and agent orchestration
• Experience in model evaluation (incorporating both human and automated feedback), including model safety evaluation and guardrail design
• Demonstrates proficiency in most areas of mathematical analysis methods, including predictive analytics, natural language processing, reinforcement learning and causal inference with in-depth specialization in some areas
• Experience working with healthcare data, including claims data, provider data, and / or clinical data
• Experience mentoring junior data scientists and maintaining high technical quality standards for team
• Experience with Vertex AI and Google Cloud Platform is a plus, but comparable experience on other platforms is also valuable