Job Overview

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