Professor Data Science and Analytics

Harrisburg University•Harrisburg, PA

4d•Onsite

About The Position

Discover the Data-Driven Future at HU! Our Master’s of Analytics program offers both a strong foundation in the effective and responsible use of data for decision making along with real-world, practical applications with state-of-the-art modeling. Across domains, students learn best practices and effective strategies for transforming data into practical insights and tools. Our doctoral program in Data Science offers students a path for furthering their scientific skills blending both scientific research with practical applications. Building on foundational data science skills, our PhD students tackle real-world problems and applications in areas ranging from healthcare and public policy to supply chain and engineering to AI and LLMs. What Sets Us Apart? We emphasize critical thinking and scientific principles in dealing with data. Our curriculum covers: Statistical Thinking Ethics for Analytics and AI Advanced Data Handling Effective Data Communication Practical Applications Our programs also allow for students to tailor their educational journey to pursue relevant advanced skills included Machine Learning, NLP, Forecasting, and Spatial Analytics while associations with other university programs allow for students to specialize their analytic skills to cybersecurity, healthcare informatics, pharmaceutical science, project management, computer/information systems, and consumer behavior. For more information, visit our Analytics and Data Science program pages. Harrisburg University is looking for dedicated professionals who thrive in a collaborative, high-quality service environment. Faculty in the Data Science and Analytics areas come from wide ranging backgrounds and experiences including psychology, computational social sciences, computer science, biology, engineering, and healthcare informatics. We value diversity and seek candidates who can contribute positively to our multicultural community.

Requirements

PhD (or equivalent) in a data-driven field such as Data Science, Computational Social Sciences (or other quantitative-focused social science field), Quantitative Economics or Finance, Applied Statistics.
Graduate-Level Teaching Aptitude: A passion for teaching and the ability to engage with students.
Doctoral Student Supervision: Experience or skills mentoring graduate student research and managing doctoral research.
Research Experience: Evidence of research skills and experience with either academic publishing or research report/grant writing.
Analytics Expertise: Expert-level knowledge in one or more of the following areas, Marketing, Time-Series/Forecasting, Finance, Health/Medical Analytics, Computer Visions, NLP/LLMs, Deep Learning, Reinforcement Learning, Spatial Analytics.
Applicants must be United States Citizen