Get to know the Team:
In the Mobility Data Science team, you are at the core of Grab鈥檚 founding business. We are responsible for building the high-concurrency AI models that power the ride-hailing experience for millions of passengers. Our mission is to balance a complex two-sided marketplace, driving platform efficiency and user growth through sophisticated geospatial modeling, behavioral economics, and real-time optimization.
Get to know the role:
As a Senior Data Scientist in Mobility, you will build intelligent systems that predict friction, shape urban movement, and use Generative AI to redefine how passengers interact with our transport network. Your key responsibilities are:
Strategic Demand Shaping: Architect solutions to balance the network spatially and temporally. This involves steering demand toward higher serviceability areas or shifting passengers between service types (e.g., from JustGrab to GrabShare or Electric Vehicles) to optimize throughput.
Demand Generation & Growth: Identify "hidden" mobility patterns鈥攕uch as commuting shifts, event-based surges, or latent shopping-to-ride needs鈥攖o unlock new growth levers for the Mobility vertical.
Proactive Reliability & Dispute Arbitration: Predict friction before the ride even starts. You will develop models to identify high-risk bookings and cancellation probabilities, automating "who is at fault" logic to ensure fair outcomes for both passengers and drivers.
Transformative User Experience with GAI: Leverage Generative AI (GAI) to evolve the passenger interface, making the booking and support journey more intuitive and personalized.
Build, Iterate, and Deploy: Own the end-to-end lifecycle of ML models, translating tens of millions of passenger interactions into production-grade solutions through rigorous A/B testing and monitoring.
Cross-Function Collaboration: Partner with product managers, engineers, analytics, design and operations teams to scale solutions.