Data Scientist

About the Role

A Data Scientist in Flipkart is required to develop and implement ML or statistical models for the various projects formulated from business and product views. The responsible person should be able to communicate and collaborate with multiple stakeholders representing various teams to better understand the problem at hand. At a fundamental level, the responsible person should be able to dive deep into a problem statement and extract interesting insights as well as solutions. In addition to being a quick learner, a DS is expected to get involved in active research projects with a view to publish them.

About the team

The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India's largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.

In a nutshell, the terabytes of daily data compounded in Flipkart's data centres offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.

At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.

If you aspire to redefine state-of-the-art and create an impact on India's online shopping landscape, Flipkart's Data Science team can offer you the right podium to solve challenging real-world problems and take a giant leap in your career as a Data Scientist.

You are Responsible for

● Understand Business and product needs and use ML or statistical techniques to provide solutions to those in a time bound fashion.

● Communicate and collaborate with business and product teams to have a better understanding of the project so as to be able to drive it within the DS team.

● Get involved in in-depth exploration of solutions using various methods and extract statistical insights from data as well as models, which are to be shared with business and product teams.

● Active participation in working with new methods and learning new technologies, both in the area of data science and data engineering.

To succeed in this role – you should have the following

● B.Tech or M.Tech in CS or Statistics with experience through publications/deployed solutions/projects.

● Deep understanding of the algorithms (theory and application) that they have worked on.

● Good grasp on the theory and practice of basic statistical models such as regression or clustering and general ML algorithms such as tree, Random Forests, SVM, Boosting, Neural Networks etc. It is not expected that the candidate has actually worked on all these modules.

● Strong proficiency in Python or R is necessary.