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About the Company
Presidency University, Bengaluru
Position Title: Assistant Professor – Statistics and Business Analytics
Department: School of Business / School of Management (as applicable)
Reporting To: Dean / Associate Dean / Head of Department
Location: Presidency University, Bengaluru
Position Overview:
The Assistant Professor in Statistics and Business Analytics will be responsible for teaching undergraduate and postgraduate courses, conducting high-quality research, guiding students in their academic and professional development, and contributing to the overall academic excellence of the University.
The ideal candidate should demonstrate a strong foundation in statistical methods, data analysis, business intelligence, and decision sciences, with a passion for teaching and research in the analytics domain.
Key Responsibilities:
- Deliver engaging and effective lectures in Statistics, Quantitative Techniques, Business Analytics, and Data-Driven Decision-Making .
- Develop innovative teaching materials, case studies, and experiential learning activities to enhance student learning outcomes.
- Supervise student projects, dissertations, and internships in related areas.
- Conduct and publish research in reputed peer-reviewed journals and participate in conferences.
- Collaborate with industry partners for applied research, consultancy, and curriculum enrichment.
- Participate actively in curriculum design, academic administration, and departmental initiatives.
- Mentor students in career development, analytics competitions, and professional certifications.
- Contribute to the University’s initiatives on interdisciplinary learning and academic innovation.
Qualifications and Experience:
- Educational Qualification:
- Bachelor’s degree (B.Sc.) in Statistics / Mathematics / Data Science or related discipline.
- MBA with specialization in Business Analytics / Quantitative Techniques / Operations Research.
- Ph.D. in Statistics / Business Analytics / Data Science / Quantitative Methods (mandatory).
- Experience:
- Minimum 2–5 years of teaching and/or industry experience in analytics, statistical modeling, or data-driven decision-making.
- Research and publication record in reputed journals (Scopus / ABDC / WoS indexed preferred).
- Experience with data analytics tools such as R, Python, SPSS, SAS, Tableau, Power BI , etc., will be an added advantage.