Teams at Faculty (faculty.ai)

Lead high-impact AI projects for life sciences clients, defining data science approaches, designing software architectures, mentoring data scientists, and ensuring rigorous delivery. Build client relationships, assess technical feasibility, shape project scope, contribute to thought leadership, and develop innovative algorithms using Python, NumPy, Pandas, and PyTorch across core data science paradigms including NLP, supervised learning, unsupervised learning, and validation.

Design and deliver end-to-end data science solutions for complex client problems, including algorithm selection, statistical modeling, deep learning, validation, and production-grade model architecture. Own scalable and mathematically rigorous model components, translate ambiguous requirements into technical frameworks, manage delivery risks, and mentor junior data scientists. Communicate with customers and promote ethical, transparent, peer-reviewed AI development.

Lead complex data science and machine learning projects from technical scoping through production delivery. Set technical direction, architect reliable solutions, define roadmaps, manage technical risk, and oversee multidisciplinary workstreams. Lead client engagements, support commercial opportunities, establish technical best practices, and mentor data scientists and managers. The role also requires influencing engineering, infrastructure, commercial, and business-unit initiatives while delivering practical outcomes under commercial pressure.