Professor/ Associate Professor/ Assistant Professor

2 weeks ago


Begur Bengaluru Karnataka, India GIBS Business School Full time

1. Curriculum Development: Design and develop curriculum materials for courses related to business analytics, data analysis, predictive modeling, data mining, machine learning, and related quantitative methods.

2. Instruction and Lecturing: Deliver engaging lectures, seminars, and workshops covering various aspects of business analytics, statistical analysis, data visualization, big data analytics, business intelligence tools, and decision-making methodologies.

3. Mentorship and Guidance: Provide mentorship and guidance to students, helping them comprehend complex analytics concepts, fostering critical thinking, and nurturing problem-solving skills.

4. Research and Publication: Engage in scholarly research, publish papers in esteemed academic journals, and contribute to advancing knowledge in business analytics, data science, or related fields.

6. Stay Updated: Keep abreast of the latest advancements, tools, techniques, and emerging trends in business analytics and data science, incorporating them into the curriculum and teaching methodologies.

7. Academic Administration: Participate in academic meetings, serve on committees, contribute to student recruitment, and support the overall development of the department and institution.

8. Assessment and Evaluation: Develop assessments, examinations, and grading criteria to evaluate student performance objectively, providing constructive feedback and guidance for improvement.

9. Professional Development: Engage in continuous professional development activities, attend conferences, workshops, and seminars to enhance teaching methods and stay updated with industry trends.

Qualifications:

- A Ph.D. or equivalent in Business Analytics, Data Science, Statistics, or a related field from an accredited institution.
- Previous teaching experience in business analytics, data analysis, or a related field at the undergraduate or graduate level.
- Expertise in statistical analysis, data mining, machine learning, predictive modeling, and business intelligence tools.
- Strong research background with publications in reputable academic journals or conferences.
- Proficiency in analytical software/tools (e.g., Python, R, SQL, Tableau, etc.).
- Excellent communication, presentation, and interpersonal skills.

Ability to inspire and motivate students, creating an interactive and stimulating learning environment

Pay: ₹100,000.00 - ₹150,000.00 per month

Schedule:

- Day shift

**Experience**:

- total work: 6 years (preferred)

Work Location: In person

Application Deadline: 24/04/2024
Expected Start Date: 01/06/2024



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