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Director - Data Science
Director - Data ScienceMakeMyTrip • India
Director - Data Science

Director - Data Science

MakeMyTrip • India
17 hours ago
Job description

Job Title : Director — Data Scientist

Location : Bengaluru

Experience : 14+ Years

Responsibilities :

  • Build end to end DS / AI / ML solutions.
  • Own analyses, model training, deployment, business impact A / B evaluation, and subsequent iterations, for best-in-class data science models.
  • Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
  • Work with stakeholders at various stages of the project, lead project development.
  • Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI / ML initiatives.
  • Improve the system quality with best-in-class models and engineering tech.
  • Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
  • Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training / inference MLOps rigour.
  • Show business impact while having the opportunity to build best-in-class AI / ML models.

Requirements :

  • Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
  • A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS / AI / ML.
  • Production experience in AI / ML Modelling, Pricing, discounting, recommendation systems and personalization.
  • Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
  • Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
  • Production experience in sequential / incremental learning systems is a plus.
  • Preferably, has worked in e-commerce.
  • Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
  • If one has a Ph. D, it should be in a quantitative field with strong / relevant experience for the problems mentioned above.
  • Keen aptitude to learn and experiment with AI / ML adoption across various use cases.
  • Experience with large-scale A / B testing systems, especially in the domain of online advertising or online commerce.
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