Director - Data Scientist

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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.

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