Research Associate with Professor Kashish Arora

Role: Research Associate

Location: Hyderabad (On-Site)

No of Openings: 1

Faculty Name: Professor Kashish Arora

Academic Area: Operations Management
 

Research Summary of the Faculty:

Professor Kashish Arora:

He is an Assistant Professor at the Indian School of Business.
His research focuses on supply chain management, marketplaces, and empirical operations management. I completed my Ph.D. from Cornell's S.C. Johnson School of Management under the supervision of Vishal Gaur. He has received his B. Tech in Industrial and Production Engineering from Indian Institute of Technology Delhi, M.Sc. in Management from INSEAD, and Master’s in Management from Cornell University.
 

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.
 

About this Position:

This posting is for an RA position with Prof. Kashish Arora (Operations Management, ISB) on the broad topic of data-driven operations management. Prof. Kashish’s research builds on tools from economics, computer science, and statistics to develop data-driven solutions for problems in (i) Operations Management, and (ii) Marketplaces and Industrial Organization.

This position is an excellent option if you are looking to do a Master’s degree or Ph.D. in the future. It will also be a great start for a career in data science roles.
 

Roles & Responsibilities:

You will:

  • Preparing data (cleaning, pre-processing, and managing)  and analyzing it by developing econometric and machine learning models.
  • Scraping large-scale data.
  • Assisting the professor in research-related tasks including literature review and writing research papers.
  • Statistical and forecasting models - Read and summarize technical and academic research relevant to the program, create Map/Supply Chain Images, and track real-time data.
     

Required Skills and Qualifications:

Skills and Qualifications :

  • Strong academic background in any of Computer Science/ Statistics/ Economics/Mathematics/ Industrial Engineering with demonstrated analytical and communication skills.
  • Working knowledge of Python and R.
  • Should enjoy programming and working with large data in distributed environments. Experience in data engineering is a plus.
  • The candidate must have high standards in terms of quality of work, attention to detail, ability to multi-task, and absolute commitment to task completion.
  • Ability to work diligently on tasks that may be tedious but are crucial for projects.
  • Relevant projects in machine learning and econometrics.
  • Advanced programming skills.
     

Our Commitment towards you:

ISB is a research-focused business school. It offers a variety of opportunities to understand the current management phenomena in depth, through research brown-bag seminars, workshops, and PhD-level courses. It provides several options to hone a person’s analytical skills.

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.

If this role is your true calling, please fill out the form using the below-mentioned link. If you have any questions, please reach out to careers_ra_fd@isb.edu.

https://www.cognitoforms.com/IndianSchoolOfBusiness9/FDOHiringForm

We will connect with you shortly.

Do you wish to apply for this role? Share your profile

Contact us at

040 23187777

0172 4591800

Timings

Monday- Friday, 08:00 AM IST to 06:00 PM IST