Senior Data Scientist - RL & Real-Time Optimisation

GRABTAXI HOLDINGS PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading tech company in Singapore is seeking a Senior Data Scientist to optimize cross-system fulfilment strategies and lead model development using advanced machine learning techniques. Candidates should have a Master’s degree in a relevant field and experience in Reinforcement Learning, and should be proficient in Python and ML frameworks like PyTorch and TensorFlow. This role performs critical tasks in improving operational efficiencies and will be onsite at Grab's One North office.

Qualifications

• At least 2 years of relevant experience in data science.
• Professional experience or academic publications in ML-related fields.
• Fluent in Python and ML frameworks.

Responsibilities

• Optimize cross-system fulfilment strategies.
• Build advanced DL and LLM models for marketplace conditions.
• Develop ML models for user and driver behaviour prediction.
• Integrate models into real-time production systems.
• Create technical documentation and present findings.

Skills

Reinforcement Learning

Stochastic Control

Behavioural Modelling

Optimisation Under Uncertainty

Python

PyTorch

TensorFlow

Distributed Computing

Education

Master degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Spark

Ray

Job description

A leading tech company in Singapore is seeking a Senior Data Scientist to optimize cross-system fulfilment strategies and lead model development using advanced machine learning techniques. Candidates should have a Master’s degree in a relevant field and experience in Reinforcement Learning, and should be proficient in Python and ML frameworks like PyTorch and TensorFlow. This role performs critical tasks in improving operational efficiencies and will be onsite at Grab's One North office.