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.
The Machine Learning team at Grab provides an opportunity to apply supervised as well as unsupervised learning on large scale data. We build algorithms and models to match passenger and driver, we predict time of arrival, we predict when a driver will churn (i.e. stop driving for Grab) etc. We explore models ranging from simple linear ones to ensembles to deep learning. If you enjoy predictions and algorithms, let's have a chat!
Get to know the Role:
The day-to-day activities:
The must haves:
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