Get to know our Team :
Grab’s Data Science Department works on some of the most challenging and fascinating problems in transport, logistics, economics, and the space around.
We apply deep learning, geospatial data mining, simulation, forecasting, scheduling, optimization, and many other advanced techniques on our huge datasets to push our business metrics to their bounds, directly and indirectly.
We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.
Sample of problems the Data Science Department solve - Intelligent allocation, machine / deep learning - based predictions (all sorts!), Dynamic pricing, Supply / demand forecasting and positioning, Incentives and promotions optimization, Carpooling matching, Shuttle and on-
demand bus routing and scheduling, Multi-modal transport, Geospatial data mining, etc.
Our Optimization team identifies and solves real-time and large-scale transportation problems using a combination of Big data and Operations Research (OR) techniques.
We build, validate, test, and deploy models and algorithms using proven and experimental techniques. We are looking for scientists who are passionate about data and want to apply advanced Operations Research techniques to solve real-world problems.
Get to know the Role :
The must haves :