Supply Chain Data Science Lead

3 weeks ago

Bengaluru, Karnataka, India Flipkart Full time

At Flipkart, we are on a mission to revolutionize the way we approach supply chain management. As a Research Manager/Senior Data Scientist in our team, you will play a critical role in driving this transformation.

About Us

We are India's largest online marketplace and the most used e-commerce app in India, with a unique vantage position that gives us 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 centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.

Job Description

In this role, you will lead the Planning data science team that is dedicated towards building DS solutions for overall inventory and supply planning within the Flipkart supply chain. These decisions drive critical business metrics such as in-stock, speed, cost and reliability, and have a major impact to bottomline, topline and customer experience for Flipkart.

  • Help the Data Science team to formulate and architect future AI / ML / OR models for Flipkart Products.
  • Guide the team through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart's ecosystem.
  • Ensure timely deployment of models in a high-pace business, large-scale production environment.
  • Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data.
  • Build deep partnerships with business, product management, and technology leaders.
  • Lead, hire, manage and mentor a team of highly qualified Data Scientists, Data Engineers, and Software Engineers.
  • Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes.
  • Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
Requirements

To be successful in this role, you should have:

B.Tech / M.Tech in CS / ML / AI / OR / Statistics with demonstrable experience through publications / deployed solutions / projects.

Formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.

Signedificant experience in developing and deploying DS solutions for supply chain settings.

Strong technical skills in machine learning / AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.

Estimated Salary

Rupees Thirty Lakh per annum (₹30,00,000)

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