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.

Candidates would:

· Build, deploy & monitor state-of-the-art AI ML RecSys algorithms, often with multi-objective constraints.

· Discuss with stakeholders (product, business, revenue) at various stages of project, from data, to problem specifics, to A/B experimentation and model iterations.

· Mentor junior data scientists and ML engineers.

· Own product recommendation platforms, upgrade model infrastructure pipelines, qualitative and quantitative evaluation pipelines, and scalable APIs to meet 99% SLA at very high RPS, low latencies.

· Opportunity to transform massive datasets at MakeMyTrip & GoIbibo into tangible business assets, create significant business impact through data science

· Opportunity to build intellectual property via new formidable product moats for travel e-commerce, for Bharat customers.

Desired Profile:

We seek individuals who are smart, highly proficient in DL/ML ranking/re-ranking, search charters, data/error/decision analyses, offline and online learning models, data centric ML, with strong math/statistics foundations, ability to lead and nurture data/modelling rigour in a data science team.

An ideal candidate would have following aspects:

· Excellent ML/DL depth and breadth. End to end experience of training and deploying deep learning RecSys models.

· Proficient in training tabular DL, sequential, GNN models.

· Proficient in training user, session, product/item representation learning.

· Aptitude to do complex SQL/python data analyses, error analyses, A/B metric evaluation, identify gaps between business and offline metrics.

· Familiarity with contextual bandits/RL algorithms is a plus

· Experience building GenAI based solutions for data science workflows will be a plus.

· Comfortable working in a fast-paced, quarterly biz impact driven DS environment.

· Strong first-principles thinking and attention-to-detail

Qualifications:

· BE/BTech preferably from Tier 1 colleges (IITs/ IISc/IIIT/ NITs)

· Preferably MS/Mtech or Ph.D in CS/ECE /AI/ML equivalents.

· 7-11 years of entire work experience in DS/AI/ML