Data Scientist (Simulation) - Behavioural modeller

Get to know the role:

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

• Incorporate models into simulation and analyse the behavioural impact on the overall system

• Drive product improvements and confidence before the roll-out of new features

The day-to-day activities:

• Deep dive into big data to conduct advanced statistical analyses

• Conduct impact analysis, sensitivity analysis and simulation-based optimisation

• Develop and execute necessary analyses or A/B tests to validate simulation models, and perform detailed analysis to identify improvement opportunities

• Effectively conceptualize analyses to business/product stakeholders

The must haves:

• Minimum 2 years of relevant experience in developing machine learning models for behaviour, preference or demand modelling

• 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 ML, good understanding of model integration into simulation and experience in real-world model validation

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

• 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 geospatial/mobility data