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.Skills Required
Ml, Spark SQL, Personalization, Ai, Data Science, discounting, combinatorial optimization, Pricing, Spark