Director - Data Scientist

Job Title: Director Data Scientist
Location: Bengaluru
Experience: 14+ Years

Responsibilities:

• Build end to end DSAIML solutions.
• Own analyses, model training, deployment, business impact AB 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 AIML 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 traininginference MLOps rigour.
• Show business impact while having the opportunity to build best-in-class AIML 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 AIML 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 sequentialincremental 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 strongrelevant experience for the problems mentioned above.
  • Keen aptitude to learn and experiment with AIML adoption across various use cases.
  • Experience with large-scale AB testing systems, especially in the domain of online advertising or online commerce.