Director Data Science

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.