Data Scientist

Job Description

About FlipkartFlipkart is India s largest e-commerce marketplace with a registered customer base of over 150 million. In the 10 years since we started, Flipkart has come to offer over 100 million products across 120+ categories including Smartphones, Books, Media, Consumer Electronics, Furniture, Fashion and Lifestyle.Launched in October 2007, Flipkart is known for its path-breaking services like Cash-onDelivery, No-Cost-EMI and 10-day replacement policy. Flipkart was the pioneer in offering services like In-a-Day Guarantee (65 cities) and Same-Day-Guarantee (13 cities) at scale. With over 1,20,000 registered sellers, Flipkart has redefined the way brands and MSME s do business online.About the roleA Data Scientist in Flipkart is required to develop and implement a mix of ML, statistical and optimization 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.What you ll doUnderstand Business and product needs and use ML, statistical and optimization techniques as appropriate 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 that are to be shared with business and product teams; specifically, build models and scalable custom algorithms for problems including decision optimization and predictive modeling.Active participation in working with new methods and learning new technologies, in areas including data science and data engineering.What you ll need:B.Tech, M.Tech or PhD in CS, Operations Research or related discipline with professional experience ranging from 3 to 6 years through deployed solutions/projects. Candidate should have taken academic coursework in Operations Research (specifically mathematical optimization)Demonstrated experience in building discrete, linear, nonlinear or stochastic optimization models is required. Experience with optimization models for supply chain optimization is preferred but not requiredDemonstrated experience in utilizing and tuning commercial optimization solvers (e.g. CPLEX, Gurobi) and in building custom optimization algorithms (e.g. exact algorithms, metaheuristics, large neighborhood search, decomposition algorithms, greedy/randomized search) for industry-scale problems is required. Good grasp on the theory and practise 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.Posted On :About the roleA Data Scientist in Flipkart is required to develop and implement a mix of ML, statistical and optimization 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.What you ll doUnderstand Business and product needs and use ML, statistical and optimization techniques as appropriate 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 that are to be shared with business and product teams; specifically, build models and scalable custom algorithms for problems including decision optimization and predictive modeling.Active participation in working with new methods and learning new technologies, in areas including data science and data engineering.What you ll need:B.Tech, M.Tech or PhD in CS, Operations Research or related discipline with professional experience ranging from 3 to 6 years through deployed solutions/projects. Candidate should have taken academic coursework in Operations Research (specifically mathematical optimization)Demonstrated experience in building discrete, linear, nonlinear or stochastic optimization models is required. Experience with optimization models for supply chain optimization is preferred but not requiredDemonstrated experience in utilizing and tuning commercial optimization solvers (e.g. CPLEX, Gurobi) and in building custom optimization algorithms (e.g. exact algorithms, metaheuristics, large neighborhood search, decomposition algorithms, greedy/randomized search) for industry-scale problems is required. Good grasp on the theory and practise 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.,

Keyskills :
machine learningpythondata analysissqlanalyticssupply chain optimizationsupply chaindata scienceneural networkscommercial modelsresearch projectsoperations research