Job Title:
Lead Data Scientist
Company: MakeMyTrip
Location: Bengaluru, Karnataka
Created: 2025-08-23
Job Type: Full Time
Job Description:
We are looking for a Lead Data Scientist to join our dynamic team at MakeMyTrip. This is an exceptional opportunity for a seasoned expert to contribute to our hotel ranking, recommendations, pricing, discovery and personalization charters. Responsibilities: Train and deploy best in class deep learning models for ranking, pricing, recommendation, representation learning. Work with stakeholders at various stages of project, lead project development from inception to completion. Be a SQL python ninja, understand data thoroughly, build smart AI/ML systems. Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip and GoIbibo, i. e., in rapidly growing travel space. 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 opportunity to build best in class AI/ML models. Requirements: Bachelor's degree in mathematics, Statistics, related technical field, or equivalent practical experience. A minimum of 6 years of experience in one or more of the following: ML Modeling, Learning to Rank, Recommendations, or Personalization systems. Knowledge of advanced ML techniques such as Classification, Learning to Rank Methods, Recommender Systems, Dynamic Pricing, Choice modelling, Anomaly Detection, Time Series Forecasting. Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. Experience of deploying models into production is preferred Experience with applying machine learning techniques to big data systems (e. g., Spark) with TB to PB scale datasets. Experience with data querying languages (e. g., SQL), scripting languages (e. g., Python), and/or statistical/mathematical software. Strong research record demonstrated through publications. Experience with design and analysis of experiments. Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.