Data Scientist (Supply Planning)
Core
Develop deep learning, reinforcement learning, and optimization models to solve supply repositioning, activation, and incentivization challenges for driver partners in Grab's marketplace.
Role type
Senior IC data scientist (supply planning & optimization)
Builds
Scalable data science solutions for driver repositioning, activation, and incentivization
Domain
Ride-hailing / Logistics / Supply Chain
Deliverable
production ML models
Required skills
Deep learning, reinforcement learning, optimization, SQL, Python, TensorFlow/PyTorch, Spark, ETL pipelines, machine learning lifecycle, software engineering practices, user profiling, behavioral segmentation
Preferred skills
Recommender systems experience
Responsibilities
Collaborate with stakeholders to identify business problems regarding driver repositioning, activation, and incentivization; 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; measure impact via experiments; build dashboards to monitor system health and maintain solutions
Seniority
Senior, hands-on IC
