GrabTaxi is a social startup that aims to significantly improve the lives of both taxi drivers and passengers across Southeast Asia (Malaysia, Philippines, Thailand, Singapore, Vietnam and Indonesia) through its innovative mobile taxi booking app. We are on a mission to increase the incomes and quality of life of taxi drivers, as well as provide safety, speed and certainty for passengers. Launched in 2012, GrabTaxi has since expanded into 6 countries and 17 cities. To date, GrabTaxi has raised more than US$ 340 million in venture funding from Softbank Capital, GGV Capital, and Vertex Ventures among other leading investors.  


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Senior Data Scientist

  Company :     Working Hours :  

  Job Type :  

Full Time

  Salary :  

$8,000 - $12,000 / monthly

Job Description

Get to know the Team:

  • In the Marketplace Data Science team you are at the core and center of Grab’s ride hailing and deliveries business. Our algorithms and models shape supply and demand in a market of passengers, drivers and merchants through intelligent pricing and a variety of incentives. We apply machine learning, forecasting and optimisation techniques to huge datasets in order to gain a strong understanding of passenger and driver behaviours and continuously run large-scale live experiments to improve on our implementations.

Get to know the role:

  • Explore and extract insights from massive dataset of geospatial, behavioural, economic, and the interaction of millions of passengers and drivers and millions of rides per day
  • Build, validate, test, and deploy machine learning or other data science models to predict and influence the behaviour of supply and demand with the goal of optimising system efficiency of the platform

The day-to-day activities:

  • Develop creative algorithms by employing machine learning and other data science techniques
  • Contribute to team’s innovation and IP creation
  • Collaborate with other data scientists, software engineers, and business operation teams

The must haves:

  • Ph.D. graduate, or Masters Degree graduate with at least 3 years of experience, in Computer Science, Economics, Electrical/Computer Engineering, Operations Research,  or Mathematics/Statistics
  • Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization
  • Experience with machine learning framework (scikit-learn, Spark MLlib etc)
  • Proficient in one or more of the following programming languages: Python, Scala.
  • Experience with one or more big data processing frameworks such as Spark
  • Self-motivated, independent learner, and willing to share knowledge with team members
  • Detail-oriented and efficient time manage in a dynamic working environment

Get to know Grab:

Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people. We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.

Grab began as a taxi-hailing app in 2012, but we have since extended our product platform to include GrabCar, GrabShare, GrabBike, GrabHitch, GrabExpress, GrabFood, GrabCoach, GrabShuttle, GrabCycle. We recently launched our fintech platform – GrabFinancial, which consists of payments, lending and insurance. Our latest addition is GrabVentures, an in-house incubation platform. We are focused on pioneering new commuting and payment alternatives for drivers and passengers with an emphasis on convenience, safety, and reliability. Currently, we offer services in 8 countries. Our R&D offices are in Singapore, Seattle, Beijing, Bangalore, Jakarta and Vietnam. We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us on this ride.

If you share our vision of driving South East Asia forward, apply to join our team today.

 Location: 6 SHENTON WAY OUE DOWNTOWN 068809.  How to get there?

 Location: 6 SHENTON WAY OUE DOWNTOWN 068809.

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