• Create robust metrics and validation plans to ensure that next generation systems do what they are hired to do. • Create and execute plans to improve AI/ML models. • Clean, analyze, and interpret complex health data from Continuous Glucose Monitors (CGM), smart insulin pens, and connected mobile apps. • Identify trends, patterns, and key metrics to inform clinical research, product development, and patient health management. • Contribute to the development of machine learning algorithms for insulin titration adjustments and predictive models that improve diabetes outcomes. • Collaborate with cross-functional teams to translate data insights into actionable clinical recommendations. • Understand how to use data from CGM, connected insulin pens, and mobile app data to create next generation recommendation systems. • Design and execute statistical analyses to evaluate the potential impact of clinical decision systems. • Develop visualizations and technical documentation for research papers and presentations. • Build scalable and efficient data pipelines to integrate, clean, and process multi-source health data from legacy products to make this data available to our internal data scientists. • Ensure high-quality data structures that support accurate and reliable analytics. • Partner with clinicians, product teams, and other stakeholders to develop next generation clinical decision systems that turn complex data into clear, actionable insights. • Present findings effectively to both technical and non-technical audiences.