Data Scientist (Simulation) - Developer

Get to know the role:

• 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 confidence before the roll-out of new features

The day-to-day activities:

• Conceptualise simulation framework and architecture to address identified problems

• Deep dive into data to validate operational processes and assumptions

• Coding of simulation modules and automation of simulation-based optimisation and analyses

• Integrate machine learning and optimisation algorithms efficiently and simulate their impact on the overall system

• Develop and execute necessary tests and analyses to validate simulation models and identify improvement opportunities

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

The must haves:

• Minimum 2 years of relevant experience in developing large-scale complex simulation models

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

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

• Experience in software architecting and development of communication interfaces

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

• Experience in simulator development; with knowledge in ML and optimisation techniques

• 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 developing agent-based mobility simulations

• Experience in parallel programming and multithreading

• Experience in large scale routing algorithms