Principal Data Scientist (User Understanding Platformisation)
Core
Define technical strategy and roadmap for user understanding and generative personalization, building shared ML capabilities for search, recommendation, and chatbot across Grab's platform.
Role type
Principal Data Scientist (User Understanding Platformisation)
Builds
Large-scale user understanding systems, reusable foundation models, and generative recommendation architectures.
Domain
E-commerce / Superapp / Southeast Asia
Deliverable
production ML models
Required skills
User modelling, recommendation systems, information retrieval, representation learning, sequence modelling, deep learning architectures (Transformers), distributed training, A/B testing, metric design
Preferred skills
Generative recommendation, foundation models, generative retrieval, unified user-item representations
Technologies
PyTorch, TensorFlow, Spark, Scala
Responsibilities
Define technical strategy for user understanding and generative personalization; architect large-scale user understanding systems; develop reusable user representations and foundation models; advance generative recommendation; drive platformization of user understanding; establish evaluation methodologies; partner on production architectures; evaluate emerging research and lead prototypes to production.
Seniority
Principal, hands-on IC with strategic leadership