Job Description:
About Flipkart
In 2007, we started the Flipkart journey by selling books online. But now, over a decade later, our story is quite different. Today, Flipkart is India’s largest online marketplace and one of India’s leading technology powerhouse that is disrupting the way India shops online. What has got us here? The dynamic, passionate and talented folks we call Flipsters!
Our core values define our identity and form the basis of our actions and reflect in everything that we do at Flipkart. Values enable us to shape the desired organizational culture in which each Flipster can thrive and be at their best.
We believe in taking bold bets and changing the paradigm, having a sense of urgency to solve problems strategically and putting great ideas into action. We look at the world from our customer’s point of view and keep customers at the heart of everything we do. We strive to do the right thing always and be committed to our customers and stakeholders.
About the team
Flipkart is India’s largest eCommerce company and is defining eCommerce in the country. Flipkart’s vision is to make Analytics and Big Data part of its overarching competitive strategy, and push it up to decision makers at every level.
In keeping with this vision, Decision Sciences cuts across every division of analytics with a goal to provide quick, robust, and if necessary highly complicated machine learning solutions to seemingly the most untenable of problems. These would fall broadly under pricing, segmentation, selection, inventory management, logistics, planning, attrition, and any data driven project that is amenable to mining resulting in a direct or perceptible impact on firm PNL.
About the role:
Deliver productionizable advanced statistical or machine learning based solutions for high impact complex problems.
What you’ll do:
Work with various stakeholders within analytics in understanding their business requirements. Formulate the appropriate predictive analytic solutions leveraging statistical and machine learning tools.
Carrying out a cost benefit comparison of various solutions, not only driven by analytical rigour of the solutions, but also the pragmatic aspects of deployment, data and adoption cost.
Work with product and tech teams to implement the solutions.
Create feedback loops.
Help shape the product roadmaps.
Drive adoption of the predictive analytic solutions via demonstrating improvement in success metrics and interfacing with business partners from other teams.
What you’ll need:
Education: Mtech / M.S / Ph.d in Comp Science/Engineering/Operations Research/Data Science/Pure science/Business analytics and related disciplines
Programming skills: Java / Python / R / C++ (Optional)
Background and Experience in: Machine Learning, Data Mining, Mathematical and Statistical Modeling, Mathematical Optimization, Simulations.
Looking for significant research expertise/accomplishment, theoretical depth and business experience in the above areas. Prefer candidates with patents or published papers and a few years of industrial experience.
Should have experience in developing and implementing analytical solutions for business end use. Prefer candidates with prior experience in eCommerce or Supply Chain.
Hands on experience in model building, validation, and productionizing.
Prior experience in working with business leaders and acting as a thought partner.
Proven hard-problem solving skills.
3-5 years of experience working in e-commerce or related industries.
Excellent computational, programming, data management skills.
Experience handling big data.
Excellent organizational and written skills.
How to Apply?
If you are interested to apply, kindly fill the form obtained from the link below and upload your resume.
