Data Science & Analytics
About the team
Be part of a team that humanises big data and drives innovation for Southeast Asia’s leading superapp. Bridge the online and offline aspects of our transportation, logistics and financial services business, and use data to align product development with strategic goals.
Jia Min Leong
Senior Data Scientist (Analytics)"Coming to work everyday is like surrounding myself with the smartest people I’ve ever met! Asked and being asked tough questions is a daily challenge and I’m never bored of working with the Data Science and Analytics team!"
Jared Lum
Data Analyst"When I’m at the centre of all the data that’s being generated every single moment, I just find it joyful with the whole process of figuring out the hows and actually making meaningful insights out of them! There’s seemingly and interestingly never a single way of approaching a problem here which keeps me on my feet constantly."
Viet Thi Nguyen
Senior Data Engineer (Analytics)"As part of the Data Science and Analytics team, I appreciate being in a truly gender-balanced environment. The diversity of backgrounds we have is also an asset as we bring together varied approaches to tackle the regional problems we need to solve everyday."
Maanas Sunil Prabhakar
Deliveries Analytics Manager II, New Retail & Orders Platform"Want to leave your mark through data-driven product thinking? I know I do, and that's what drives me to work all day every day! And what's even better is working with some of the most intellectual, driven, kind and authentic people I know, who are my Grab Friends Forever (and ever)!"
Securing and Managing Multi-cloud Presto Clusters with Grab’s DataGateway
SQL remains the core language for analytics at Grab, and our Presto platform helps serve up to 500 users who run 350,000 queries each day. Through Grab’s DataGateway, we can manage user access and cluster selections, distribute workloads to different types and versions of Presto clusters and enhance data access control.
Powered by technology and driven by heart, find out how our Data Engineering team continues to drive Southeast Asia forward.
Improving Efficiency with Machine Learning
With our chat function becoming the primary channels for user support, increasing efficiency and productivity among our agents is necessary. To ensure quicker support time and scale chat even further, we’ve built a machine learning model offering contextual suggestions based on internal data. This allows our chat specialists to type faster, and better serve more consumers.
Join us at Grab to solve real-world problems affecting the lives of millions across Southeast Asia.
Making Grab’s Everyday App Super
As Southeast Asia’s leading superapp, Grab provides countless services such as ride-hailing, payments and more. As we strive to outserve our consumers, we aim to make the whole experience a unique and personalised one for each of them. Discover how we make this happen.
Utilizing Data and Technology to Impact the Region
Grab delivers personalised experiences to over 200 million consumers, driver-partners and merchant-partners through softwares such as Databricks. Find out how we create consumer-centric solutions through data and technology.