Jun 11, 2019

Senior Data Scientist (Simulation)

  • Grab Taxi
  • Singapore
Full time Data Science

Job Description

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.

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:

  • Conceptualise simulation framework and architecture to address identified problems
  • Develop mathematical models and code detailed simulations to dynamically model Grab’s driver and passenger movements, behaviour and interactions
  • Deep dive into data to conduct advanced statistical analyses and modelling
  • Incorporate machine learning and optimisation algorithms and simulate their impact on the overall system
  • Effectively conceptualize analyses to business/product stakeholders
  • Drive product improvements and confidence before the roll-out of new features

The day-to-day activities:

  • Conduct impact analysis, sensitivity analysis and simulation-based optimisation
  • Develop and execute necessary tests and analyses to validate simulation models, and perform detailed analysis to flag out vulnerabilities and improvement opportunities
  • Visualise simulation results in a manner that facilitates the required analyses

The must haves:

  • Minimum 3 years of post-doc experience or 6 years of relevant experience in developing large-scale complex simulation models, e.g. in transportation domain
  • Ph.D. or Master’s in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, or related technical disciplines
  • Good knowledge in at least one of the following areas: Agent Based Modelling, Discrete Event Simulation, Decision Modelling, Transport Simulation; as well as knowledge in ML and OR techniques
  • Strong software development capabilities, preferably in Python and Java; proficient in statistical programming in languages such as Python and R; and working knowledge in RDBMS such as PostgresQL or MySQL
  • Self-motivated and independent learner who is willing to share knowledge with the team
  • Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced 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.


Senior Data Scientist