Get to know our Team:
In the Marketplace 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 from more than 65 cities across the region
- 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, R, Scala.
- Experience with one or more big data processing frameworks such as Spark
- Experience or knowledge in Economics will be advantageous
- Self-motivated, independent learner, and willing to share knowledge with team members
- Detail-oriented and efficient time manager in a dynamic working environment
