Data Scientist – Operations Research

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 – Operations Research 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

Specific day to day responsibilities will include, but will not be limited to:
 Design, build, configure and solutioning applications to meet Grofers business process and requirements.
 Coordinate with operations and training team for new Product deployments and feedback
 Update relevant stakeholders about newly launched features and provide support for product related
 Drive and Track adoption of deployed features
 Coordinate with tech and product team to report bugs and product enhancement
 Resolve ad-hoc queries raised by operations team/business teams
 Work with design and engineering teams through feature implementations

Qualification/Desired Attributes
 Linear Programming, Graphical Solution,
 BFS, Simplex Method, Duality theory, Dual Simplex Method, Sensitivity Analysis,
 Nonlinear Programming, Optimization Models and Techniques, Constraint Optimization, Unconstrained
Optimization, KKT, Relaxation Method,
 Integer Programming, Branch and Bound Method, Cutting Plane Algorithm,
 Linear Integer Programming, Mixed Integer Programming, Bilinear Programming.
 Knowing SQL is added advantage
 Expert in Python, R programming. Preferable to have knowledge in GUROBI / IBM ILOG CPLEX.
 Good to know basics of Data Analysis, Supply Chain Management and retail industry.
 Work with Data Team and Product Manager to understand business requirement and build OR Models
such as linear programming model / integer programming model / mixed-integer programming model and
solve it.
 Must have experience in communication skills, 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. .
 Required qualification is PhD in Operations Research, M.Sc / M. Tech in Operations Research. If any other
discipline has experience in Operations Research modelling 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