Senior Data Scientist (Supply Planning)
Core
Transform driver-facing business problems into data science solutions to optimize supply utilization, repositioning, activation, and incentivization for Grab's driver partners using AI and big data.
Role type
Senior IC data scientist (optimization & reinforcement learning)
Builds
Scalable data science solutions for supply repositioning, activation, and incentivization within Grab's marketplace
Domain
Ride-hailing / Logistics / Operations Research
Deliverable
production ML models | dashboards & analysis
Required skills
Linear Programming (LP), Mixed-Integer Linear Programming (MILP), Non-Linear Programming (NLP), custom heuristics, meta-heuristics (e.g., Genetic Algorithms), ETL data pipelines, software development lifecycle, unit and model testing
Preferred skills
deep learning, reinforcement learning, big data analysis
Technologies
Linear Programming, Mixed-Integer Linear Programming, Non-Linear Programming, Genetic Algorithms
Responsibilities
Collaborate with stakeholders to identify business requirements for driver repositioning and activation; translate business problems into data science problems and design solutions; retrieve and analyze data for exploratory analysis and prototyping; develop and deploy scalable data science solutions; build dashboards to monitor system health and maintain solutions
Seniority
Senior, hands-on IC
