Teams at EvolutionIQ

Lead data science and analytics initiatives supporting product, engineering, leadership, and insurance clients. Analyze claims and product data, design experiments, generate hypotheses, measure ROI, build dashboards and reproducible analytics, and communicate actionable recommendations. Mentor junior analysts, conduct client-facing analyses, collaborate with ML teams, investigate data issues, and shape product strategy through sophisticated statistical modeling and exploratory analysis.

Lead end-to-end development of AI and machine learning solutions for a medical claims synthesis product. Design and deploy LLM-driven features, hybrid statistical ML and RAG systems, document extraction, and human-in-the-loop summarization workflows. Make architecture decisions, optimize production systems, evaluate model performance, collaborate with SMEs and product teams, and mentor engineers. Translate emerging AI research into reliable, scalable production applications.

Lead analytical projects that translate complex claims data into actionable insights for business strategy and client outcomes. Develop SQL queries, Python tools, dbt models, automated reporting, ROI analyses, and Looker dashboards. Define KPIs, ensure data quality, mentor junior analysts, and partner with clients and cross-functional leaders to explain AI recommendations, uncover business problems, and influence product direction, client retention, and opportunity prioritization.