Director - Data Science

17 hours ago


Bengaluru, India MakeMyTrip Full time

Job Title: Director — Data ScientistLocation: BengaluruExperience: 14+ YearsResponsibilities:- 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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