
Lead Data Scientist
4 weeks ago
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.
Job Description:
As a Lead Data Scientist, you will:
- Build, deploy, and monitor cutting-edge ML models; models range from classical machine learning and deep learning to more recent advancements in fine-tuning LLM/SLMs.
- Use these models as central elements of frameworks like learning to rank, candidate generation / personalization, reinforcement learning, uplift modelling and price elasticity modelling.
- Leverage recent advancements in LLM/GenAI architectures and frameworks to further enhance model performances.
- Engage with stakeholders (product and tech) throughout the project lifecycle, from data acquisition to problem specifics, A/B experimentation, and model iterations.
- Mentor junior data scientists and data engineers.
- Take ownership of full deployment ecosystem -- enhancing model infrastructure pipelines, evaluation pipelines, and scalable APIs to ensure 99% SLA at high RPS with low latencies.
- Leverage massive datasets at MakeMyTrip & GoIbibo to create significant business impact through data science.
Desired Profile:
We are seeking individuals who are:
- Highly proficient and possess intimate familiarity with DL/ML concepts, with a strong foundation in math/statistics.
- Experienced in training and deploying deep learning models for ranking/search/pricing/fraud systems.
- Comfortable with big data tools like Pyspark to build feature engineering pipelines.
- Skilled in training tabular, sequential, text, and graph based (GNN) models, and in user, session, product/item representation learning.
- Capable of complex SQL/Python data analyses, error analyses, A/B metric evaluation, and bridging gaps between business and offline metrics.
- Comfortable in a fast-paced, business impact-driven DS environment.
- Experienced in deploying models to serve real-time ML use cases, for millions of users at ultra-low latencies.
- Eager to learn and leverage Gen AI capabilities for business use cases.
Qualifications:
- BE/BTech from Tier 1 colleges (IITs/ IIIT/ NITs).
- MS or Ph.D. in CS/ECE/AI/ML or equivalent fields.
- 5-8 years of work experience in DS/AI/ML; at least 2+ years in e-commerce B2C.
Join us and be a part of a team that transforms data into tangible business assets and drives significant business impact through data science. Apply now to embark on a rewarding journey in the realm of data science and e-commerce.
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