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.
About the role
A Senior Data Scientist in Flipkart is required to drive research and development of various Machine Learning and
Statistical modules, keeping business goals and product planning at the front. The responsible person should be able
to communicate and collaborate with multiple stakeholders representing various teams. The crux of the work is defined by developing innovative problem statements as well as end to end implementation of state of the art ML and statistical algorithms. The candidate is additionally expected to work proactively with a team of junior Data Scientists and guide them in various research projects with a view to publish their findings.
What you ll do
Understand Business and product needs and use advanced modeling techniques to provide solutions to those in a time bound fashion
Develop research and hypothesis on problem statements around on-going work to provide additional value to the organisation.
Keep the team updated on current trends in the area of ML and Statistics, thereby ensuring that state-of-the-art solutions are provided for the business problems.
Regular collaboration with various stakeholders from business or product to better understand the vision and
gain insights which is to be leveraged for providing better solutions.
What you ll need:
B.Tech in CS or Statistics with demonstrable experience of over 8 years through publications/deployed solutions/projects.
M.Tech or PhD in CS or Statistics with demonstrable experience of over 5 years through publications/deployed solutions/projects.
A deep understanding of applied statistical analysis and predictive modeling is desired.not limited to regression, SVM, Tree, Random Forests, Boosting, Neural Network, clustering, forecasting,
deep learning, text analysis etc. It is not expected that the candidate
The candidate must have a thorough grasp of the theory and application of broad ML algorithms namely, but
not limited to regression, SVM, Tree, Random Forests, Boosting, Neural Network, clustering, forecasting,
deep learning, text analysis etc. It is not expected that the candidate has actually worked on all these
Strong proficiency in Python or R is necessary.