Lead Data Scientist

3 weeks ago

Bengaluru, Karnataka, India MakeMyTrip Full time
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.

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