FT Faculty Data Science and Analytics

Faculty Data Science and Analytics

Job Description

Please consider being in a commutable distance to Harrisburg, PA.

This role requires on-site teaching 2 weekends per semester.

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. Our doctoral program in Data Science offers students a path for furthering their scientific skills blending both scientific research with practical applications.

Qualifications

• 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.
• Research Experience: Candidates should have experience with academic publishing showing evidence of research agenda and scientific communication.
• Doctoral Student Supervision: Experience or skills mentoring graduate student research and managing doctoral research. Expertise for guiding doctoral students in finance/economics, healthcare, and/or AI research required.
• Analytics Expertise & Teaching Aptitude: 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.
  
  

Interested candidates should submit,

• CV (including publications, conference presentations, courses taught, research funding/awards),
• teaching statement (including examples of course materials developed and course evaluations), and
• research statement (including future research agenda, plans for research funding or collaborations)
  
  

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.

Join Our Team of Experts

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.

Join us at Harrisburg University and be part of programs that are shaping the future of data science and analytics!