FT Faculty Data Science and Analytics at Harrisburg University

Harrisburg, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Mar, 26

Salary

0.0

Posted On

04 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, Statistical Thinking, Ethics for Analytics, Advanced Data Handling, Effective Data Communication, Machine Learning, NLP, Forecasting, Spatial Analytics, Healthcare Informatics, Cybersecurity, Pharmaceutical Science, Project Management, Consumer Behavior

Industry

Education Management

Description

Faculty Data Science and Analytics 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. 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. 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. 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. * 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. Preference for expertise in finance and/or marketing. Interested candidates should forward a cover letter, CV, teaching philosophy, and research statement. Join us at Harrisburg University and be part of programs that are shaping the future of data science and analytics! 🚀

Responsibilities

The faculty will engage in on-site teaching and mentoring graduate students in the Data Science and Analytics programs. They will also contribute to the development of the curriculum and research initiatives.