Data Scientist (Transport/Food/Marketplace)

Get to know the role:

• Conceptualise and develop machine learning models to model Grab’s driver and passenger movements, preferences, behaviour and interactions

• Develop and implement optimization algorithms to solve vehicle dispatch, routing and pooling problems

• Build complex and detailed simulations from ground up to dynamically model Grab’s operations, driver and passenger movements, attributes and interactions

• Drive product improvements and roll-out of new features

The day-to-day activities:

• Deep dive into big data to conduct advanced statistical analyses

• Design and build machine learning and optimisation algorithms efficiently

• Integrate, simulate and test impact of algorithms and features on the overall system

• Develop and execute necessary analyses, simulations or A/B tests to validate models and identify improvement opportunities

• Store, retrieve and visualise results in a manner that facilitates required analyses

• Effectively conceptualize analyses to business/product stakeholders

The must haves:

• Minimum 2 years of relevant experience in one or more of the following:

  • Developing machine learning models for behaviour, preference or demand modelling

  • Developing optimization algorithms to solve large-scale network flow/ combinatorial/ stochastic problems

  • Developing large-scale complex discrete-event/agent-based simulation models

• Ph.D. or Master’s in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, or related technical disciplines

• Strong fundamentals in one of the following: ML, optimisation or simulation, with background in the other areas

• Proficient in statistical programming in languages such as Python and R; and strong working knowledge in RDBMS such as PostgresQL or MySQL

• Excellent software development capabilities, preferably in C++, Java or Python; knowledge of GoLang would be an advantage

• Self-motivated and independent learner who is willing to share knowledge with the team

• Efficient and detail oriented time manager who thrives in a dynamic and fast-paced working environment

Really good to haves:

• Experience in working with mobility, delivery or food data and use cases

• Experience in parallel programming and multithreading