Research Associate Withprofessor Pranav Jindal

2 weeks ago


Mohali Punjab, India Indian School of Business Full time

**Role**:Research Associate (Full-time)

**Location**:Mohali (In Office/Hybrid)

**No of Openings**:1

**Faculty Name**:Professor Pranav Jindal

**Academic Area**:Marketing Area

Research Summary of the Faculty:
Professor Pranav Jindal an Associate Professor of Marketing at the Indian School of Business. He does research in the field of quantitative marketing and empirical industrial organization with a focus on pricing, price negotiations, product insurance, consumer beliefs and inter-temporal preferences. He was selected as a 2021 MSI Young Scholar by the Marketing Science Institute.

Prof. Jindal's research has been published in top marketing journals such as Marketing Science, Journal of Marketing Research, Journal of Marketing, Management Science, and Quantitative Marketing and Economics. He has received several grants for his research and serves on the Editorial Review Boards of Journal of Marketing Research and Marketing Science.

Prof. Jindal got his PhD and MBA in Marketing from University of Chicago Booth School of Business, and a B. Tech. in Industrial Engineering from IIT Delhi.

About ISB

The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia. The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies. The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership.
The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous.

Roles & Responsibilities:
As a Research Associate, you will be working with Prof. Pranav Jindal on full-time basis. Your responsibilities include:

- **_Providing assistance to the faculty_** - Assisting in their ongoing research work which includes the development of solution algorithms, and designing of computational experiments.
- **_Data analysis_** - cleaning of large data and drawing insights from data. This would require a thorough understanding of univariate and multivariate analysis.
- **_Database management_** - Linking different datasets, ensuring data quality, and processing raw data into processed datasets for modelling and estimation.
- **_Programming surveys_** - creating market research surveys and experiments in software such as Qualtrics.
- **_Synthesis_** - Literature search and review, summary, presentation, and analytical writing.
- **_Quantitative modeling_** - Econometric analysis for exploratory data analysis and causal estimation, including visualization and reporting, along with sound knowledge in signal processing/latent models.
- Conduct **_market and economic analysis_** and prepare reports to harvest data and generate presentable insights from the data.

Required Skills and Qualifications:
Qualifications:

- B Tech from IIT, NIT, or a top engineering college
- Master’s or Ph. D degree in a quantitative area such as Economics, Statistics, Marketing, Computer Science, Mathematics, Data Analytics.

**Skills**:

- Excellent analytical and programming skills in statistical software such as Python, R, Stata, SAS and SQL, and survey programming software such as Qualtrics.
- Experience working with big data systems, concepts, and tools.
- Strong verbal and written communication skills, with attention to every detail.
- Motivation to learn and a strong work ethic.
- Excellent problem-solving and multi-tasking skills.

Our Commitment towards you:
Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre in the entire Asia, Comprehensive Health and Personal Accident Cover for you and your family members. ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations.

**We will connect with you shortly.**

Contact us at

040 23187777

0172 4591800

Timings

Monday
- Friday, 08:00 to 18:00


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