Jess Schnyders is an Adjunct Professor of Data Science and Analytics at Eastern University, where she teaches at the graduate level. With a robust healthcare background, her work focuses on bridging data science and artificial intelligence with clinical practice. Her teaching and professional work center on helping analytics professionals and clinicians understand how data and AI can be applied thoughtfully to improve decision-making.
Professor Schnyders came to Eastern University after nearly a decade in healthcare as a registered nurse, where she worked in an intensive care setting and was actively involved in research and evidence-based quality improvement initiatives. After earning her master’s degree in data science from Eastern University, she served as full-time staff for the Data Science and Analytics program before transitioning into the data science industry. She has since held senior data science roles across education, finance, and healthcare. She currently works as a Principal Data Scientist at a pharmacy benefit manager, where she focuses on clinical outcomes, predictive modeling, and AI strategy. In addition, she serves in an advisory capacity as Director of Clinical Data Science for the American Board of Nursing and Artificial Intelligence (ABNAI), supporting the development of AI certification for nursing professionals.
MS, Data Science, Eastern University
BSN, Nursing, South Dakota State University
ADN, Nursing, Hopkinsville Community College
- DTSC 600, Information Visualization 550
- DTSC 660, Data and Database Management **Assistant
- Director of Clinical Data Science, American Board of Nursing Artificial Intelligence (ABNAI)
- “Standardizing the Treatment of Diaper Dermatitis with a Nurse-Driven Protocol,” in Sanford Health Nursing Annual Report 2019 (Sioux Falls, South Dakota: Sanford Health, 2019). Group-authored.
- “Improving the Frequency and Duration of Skin-to-Skin Holding to Promote Parental Confidence in the NICU.” Poster presentation, Sanford Health NICU, published online by The Zaky® (2019). Group-authored.