Data Science team at Flipkart is going forward with mission of building systemic intelligence across Flipkart product and ecosystem. Being the largest e-commerce marketplace and the most used e-commerce app in India, exposes us to the richest possible data about Indian consumer. Along with that we have data from huge product selection and large number of sellers. The ~8TB of data generated per day has complete mix of data types in terms of numerical data, structured text, unstructured text, images, audio etc.
This data gives us an opportunity to explore wide range of problems to solve. Some of the problems we are focusing on currently are:
• Product discovery along with personalization and intent modeling,
• Demand shaping and planning,
• Heterogeneous networks for consumer, product & seller interactions,
• Customer insights,
• Catalog enhancement and product insights,
• Customer emotion detection and right response matching,
• Fulfillment automation,
• Optimization of last mile delivery,
• Self-healing systems,
• and more.
Data Science team is also leveraging partnerships with Indian and foreign universities like CMU, IIT's, IISc and IIIT’s for pushing state of the art for these problems.
At Flipkart, Data scientists are embedded with the engineering and product team for the problem they are working on. This ensures that the data science solutions are envisioned along with product delivery. We have a very flat structure within Data Science team, which enables us to focus on excellence and create a deep sense of ownership. Also being a young team we are able to democratize the process of problem selection.
Our techniques span classification, clustering, matrix factorization, graphical models, networks and graph algorithms, topic modelling, image processing, deep learning and NLP, each one of them being exercised at a fairly large scale. If you want to challenge the state of the art and want to impact the wide open landscape in India, Flipkart Data Science team is the place for you.
Eligibility: B.Tech/M.Tech/PhD in CS/Statistics with demonstrated experience in ML/Statistics through papers/projects