• Teach graduate-level courses in the MS in Data Science programs (online and/or residency format, as assigned) • Maintain instructional excellence aligned with course objectives, accreditation standards, and program outcomes • Engage in curriculum development, assessment, and continuous program improvement • Provide academic advising and mentorship to graduate students • Participate in faculty meetings, program initiatives, and university service activities • Collaborate with program leadership to support student success, retention, and professional preparation • Perform other duties as determined by the Dean and Program Director

• Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy • Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis • Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need • Use critical thinking to use the right approach for each problem statement • Anticipate business need and make continuous improvements to models and processes

• Lead Generative AI and LLM-driven projects • Design and optimize AI architectures for scalable production systems • Develop and deploy production-grade Python AI solutions • Implement Retrieval-Augmented Generation (RAG) pipelines • Mentor engineers and data scientists • Collaborate with engineering teams on cloud-native architectures • Ensure AI solutions are reliable, scalable, and maintainable

• Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources • Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques • Refine data manipulation and retrieval through the design of efficient data structures and storage solutions • Innovate with tools designed for data processing and information retrieval • Dissect and document vast datasets, analyzing them to highlight patterns and insights • Solve complex challenges by developing impactful algorithms • Ensure model excellence by validating performance scores and analyzing Return on investment and benefits