Sr. Data Scientist - II

Actively Reviewing the Applications

MakeMyTrip

India, Karnataka, Bengaluru Full-Time On-site

Posted 9 hours ago • Apply by June 15, 2026

Job Description

Job Description

MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data.

Responsibilities

Build and deploy state-of-the-art ML/deep learning models for use cases in hotels, Flights, cross-selling, Ad notification, and a few other problems that straddle across multiple lines of business.
Contribute to ML contextual bandit/RL platforms or pricing systems, or causal/uplift (CATE) models, or train advanced recommendation models with representation learning.
Based on your capability, you may take up end-to-end responsibility for complex applied DS projects.
Discuss with stakeholders at various stages of the project, for data, to select an appropriate model form, and to set up an appropriate A/B experimentation framework.
Opportunity to work with high-volume click-stream e-commerce data.
Build and own robust model infrastructure pipelines and API meeting 99% SLA at very high RPS.
Opportunity to transform data at MMT into a tangible business impact through data science.

Requirements

Strong Python programming skills.
End-to-end experience of training and deploying machine learning models.
Strong machine learning and statistical foundation.
Ideally, but not mandatory, have trained and debugged deep learning models with tabular datasets, have trained representations/embeddings with content (text or image) for downstream tasks, or trained with user behaviour (click stream) data.
Experience working with large datasets using Spark, Hadoop, or AWS Athena/Redshift (SQL).
ML engineers should have experience in CI/CD, Docker, RestAPI, and ideally Spark or Kafka/Flink streaming.
Strong problem-solving and conceptual thinking abilities.
Ability to work in a fast-paced and deadline-driven environment.
Experience working in the e-commerce domain is a plus.
BE/BTech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IT/REC) in Computer Science/Statistics/IT/ECE stream.
MS or PhD in Applied AI, Advanced deep learning, Applied Mathematics, Applied Statistical Modelling, Computer Science, Advanced econometrics programs, or equivalent.
4-6 years of work experience, which should include a minimum of 4 years of experience in Data Science.