Director - Data Scientist

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.