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, Shuttle and on-demand bus routing and scheduling, Multi-modal transport, Geospatial data mining, etc.
We are the team that builds the platforms and tools that help the Data Scientists do their work. We organize the data to be used in experiments and modelling, provision the infrastructure to store and process it, and build tools to analyze it. We work with cutting edge and industry standard products to come up with solutions to various use cases for the different Data Science teams. If exploring present and emerging technologies to solve problems excite you, come and join the team.
This position reports into the data science department Get to know the Role :
Plan, build, deploy, and maintain scalable machine learning infrastructure
Generate fit-for-purpose tools for various ML use cases
Leverage collected data for building ML models to solve business problems
Contribute to team's innovation and ensure up to date skills and knowledge
The must haves :
Bachelor or Masters in Computer Science, Electrical/Computer Engineering , Operations Research or Mathematics/Statistics
3 years of relevant experience in related fields
Use Spark and MapReduce technologies applied to machine learning
Admin experience of SQL based databases like PostgreSQL, MySQL
Development experience with NoSQL datastores like Cassandra, Redis, ElasticSearch
Familiarity with AWS based solutions like EMR, ec2, RDS, Kinesis
Familiarity with System Administration and scripting
Proficient in programming languages like Python, R. Knowledge of Java, GoLang would be a bonus
Understanding of ML algorithms such as neural networks, SVM, decision trees, boosting techniques, reinforcement learning
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.