Job
Description
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 Show more Show less
