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Data Scientist - Academic Operations

Location: Gurgaon

Key Responsibility:

  • Owning new initiatives for learning content and experience for our flagship program BABI (Business Analytics & Business Intelligence)
  1. Ensuring ongoing review of the learning content and identifying opportunities to improve quality in terms of appropriateness, accuracy, richness. 
  2. Ensuring the efforts towards updating the content as well as creating additional content - videos, reading material, exercises and assignments.
  3. Deliver a great learner support experience by ensuring timely response and feedback on all academic queries from learners
  • Leading initiatives to deliver solutions to key business problems in Operations and customer experience
  1. Project Management for delivery excellence
  2. Drive cross-pollination of ideas and knowledge with in-house data science team to deliver in-house solutions and translate them into learning material & case studies for learners
  3. Use insights derived from ad-hoc data analysis to answer ad-hoc questions as well as drive processes improvements so that Great Learning’s business requirements are met
  4. Collaborate with internal stakeholders to consistently align data interpretation with evolving business processes
  5. Refine existing solutions & products as well as handcraft new features in the Learning Management System for superior end user experience
  • Create unique learning experiences that enable Great Learning customers to have a delightful learning experience and meaningful outcomes
  1. Conceptualize, plan and execute hackathons & ad-hoc competitions, 
  2. Fostering and leveraging relationships with industry leaders in Analytics to organize conferences, panel discussions, Analytics industry sessions


  • Solid understanding and working knowledge of advanced techniques like supervised &unsupervised learning, including but not limited to, hypothesis testing, regression, clustering,decision trees, prediction techniques, model tuning and model performance measures etc.
  • Good aptitude, ability to think logically and problem-solve
  • Ability to work under pressure and tight deadlines
  • Ability to learn quick - ability to learn business, processes, techniques and technologies on the go 
  • Prior experience of deploying analytics solutions
  • Ability to lead teams
  • Good understanding of what analytics is - from data to decisions 
  • Good ability to work with complex, unstructured data from multiple sources - consolidate, analyze, interpret, clean and transform to get it ready for analysis 
  • Ability to design approaches to solve a problem using data analysis techniques 
  • Ability to interpret data, present/visualize metrics and extract meaningful insights to answer business problems
  • Good proficiency with Microsoft Office Suite
  • Strong working knowledge of SQL, R/Python, Excel
  • Excellent oral and written communication skills