Data Scientist

Non-Negotiable Requirements • 8–10+ years of Data Science experience. • 3–4+ years of direct medical device company experience (not hospitals, clinical, or general healthcare analytics). • Experience with CAPA, post-market surveillance, audits, non-conformances, supplier quality, and design/manufacturing quality data. • Master's Degree is mandatory. • Strong advanced statistics skills, including selecting methods, building models, and performing root cause analysis. • Hands-on experience with Machine Learning, AI, unstructured data, and vector embeddings. • Strong expertise with Azure Databricks and its AI/ML capabilities. • Ability to independently recommend and lead data science approaches. Key Responsibilities • Analyze medical device quality and operational data. • Build statistical and ML/AI models to identify trends, correlations, and root causes. • Generate proactive recommendations to improve product quality and reduce operational risk. • Partner with the Data Engineer and leverage Azure Databricks for scalable analytics solutions. Note: Direct medical device industry experience (minimum 3–4 years), strong advanced statistics expertise, hands-on Azure Databricks experience, and proven AI/ML capabilities. This is not a general healthcare Data Scientist role; candidates must come from a medical device design, manufacturing, or quality environment. Interested W2 candidates with above background are preferred.