Work location: Singapore
Salary:
Industry: IT - Software
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.
Be part of the team that models and develops mid-to-high fidelity simulations of Grab’s transportation systems, modelling the movement and behaviour of agents in order to provide critical insights to improve our product offerings. We are looking for candidates who are excited about harnessing simulation techniques to solve business problems, as well as incorporating machine learning and optimisation methods for modelling of large-scale systems.
Get to know the Role:
The day-to-day activities:
The must haves:
Really good to haves:
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