Data Scientist – Simulation

Bengaluru, Karnataka, India Full-time

Grofers is a low-price online supermarket. We enable customers to order products via our mobile application or website across categories such as grocery, fruits & vegetables, beauty & wellness, household care, baby care, pet care, bakery and meats & seafood and get them delivered to their doorstep. At Grofers we believe in improving the quality of life of our customers by providing them best products at best prices. To be able to meet customer expectations and enrich their shopping experience, we provide them with products they best relate with, help them save money on everyday purchases, and give them the spending power they need. We operate in 13 cities in India and are continuously growing. We’ve raised $226.5 million till date from SoftBank, Tiger Global and Sequoia Capital.

Objective of this Role

As a Data Scientist – Simulation  you will be part of a highly energetic supply chain product team and be part in building next-gen supply chain products for Grofers. You will participate in planning and launching new products and deployments across Pan-India and identifying areas of opportunities

Responsibilities:

Specific day to day responsibilities will include, but will not be limited to:

  • Work with business stakeholders to understand their problems and work with Product Managers to assign areas of responsibilities for relevant teams
  • Design, build, configure and solutioning applications to meet Grofers business process and requirements.

Qualification/Desired Attributes

  • Must have skills : Arena, Anylogic, Basic Operations Research.
  • Good to have skills : Python, Basics of Data Analysis.
  • Monte Carlo Simulation, Continuous Model and Discrete Model
  • Must have  Good communication skills and experience in logics of Operations Research and programming.
  • Preferred to have knowledge in Warehouse Optimization, Replenishment strategy, Purchase – Demand planning – Dispatch planning in the supply chain management, Network Optimization, Forecasting and Predictive analysis in business applications.
  • Elements of Discrete Event Simulation,
  • Generation of Random Numbers,
  • Mechanics of Discrete Simulation,
  • Manual Simulation of single-server Model,
  • Subinterval Method, Replication Method, Event Scheduling, Process Oriented Method.

Preferred a PhD in Simulation or M.Sc. / M. Tech in Simulation / Operations Research. If anyone have experience / background in Simulation and its applications they can also apply.

Excited? You will be, once you visit our Engineering Blog where you can deep dive into all the cool stuff that our engineers have been working on.

All candidates interested in exploring the opportunity are requested to apply with us on careers@grofers.com

Apply for this opening at http://grofers.recruiterbox.com/jobs/fk0jyob?apply=true