Principal Data scientist

MakeMyTrip-GoIbibo data science group is looking for a seasoned data science professional, who can build next-gen travel fintech systems powered via personalized product recommendations/persuasions, real-time pricing and causal algorithms.

Responsibilities:

• Train and deploy best in class deep learning models for ranking, pricing, recommendation, representation learning, FinTech products.
• 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 8 years of experience (or minimum of 5 years with a Ph. D.) in one or more of the following:
• ML Modeling, Ranking, Recommendations, or Personalization systems.
• Knowledge of advanced ML techniques such as Classification, Prediction, Recommender Systems, Dynamic Pricing, Choice modelling, Anomaly Detection
• 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.