Senior Principal Data Scientist

GRABTAXI HOLDINGS PTE. LTD.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading technology company in Singapore is hiring a Senior Principal Data Scientist to spearhead optimization initiatives for pricing, dispatch, and supply management. The role focuses on leveraging machine learning methodologies to enhance marketplace efficiency. With at least 10 years of relevant experience and a Master's degree, candidates should possess expertise in Reinforcement Learning and strong Python skills. This role provides the opportunity to impact real-time decision-making and collaborate with cross-functional teams in a dynamic environment.

Qualifications

• Master Degree in a relevant field with at least 10 years of experience.
• Experience with Reinforcement Learning and stochastic control.
• Fluency in Python and experience with ML libraries.

Responsibilities

• Develop ML and DL models to improve efficiency.
• Design frameworks for joint optimization of marketplace systems.
• Collaborate to integrate optimization models into real-time systems.

Skills

Reinforcement Learning

Machine Learning

Python

Stochastic control

Data-driven optimization

Education

Master's Degree in Computer Science, Operations Research or Applied Mathematics

Tools

PyTorch

TensorFlow

Spark

Ray

Job description

Get to Know the Team

The Fulfilment Tech Family is an integral part of Grab, connecting our wide-ranging marketplaces across Southeast Asia. We develop real-time distributed systems and machine learning solutions to process hundreds of millions of requests daily, ensuring efficient allocation of supply, pricing, and seamless order matching.

Our mission

• Build reliable and impactful products for driver-partners.
• Optimize the ability to fulfil consumer needs in any conditions.
• Develop sustainable marketplaces, balancing user experience and operational costs across stakeholders.

We're hiring a Senior Principal Data Scientist to join the Fulfilment team. You're an individual contributor who will lead strategic optimization initiatives that elevate pricing, dispatch, and supply management strategies. You'll combine in-depth data-driven methodologies with a strategic mindset to drive automation and marketplace efficiency.

Get to Know the Role

As a Senior Principal Data Scientist, you'll shape and advance cross-system Fulfilment strategies, accounting for how passengers and driver-partners respond to platform interventions. You'll leverage machine learning and operations research methodologies to optimize marketplace-level operational outcomes.

Through joint optimization across systems—pricing, dispatch, and supply positioning—you'll design interpretable, adaptable, and multi-objective-aware Reinforcement Learning decision agents. You'll model marketplace behaviour and develop policies to automate key aspects of platform operations, contributing lasting impact for customers, driver-partners, and Grab.

You will report to the Head of Data Science and work onsite at Grab's One North Singapore office.

The Critical Tasks You Will Perform

• Develop ML and DL models to improve generalisation and operational efficiency
• Create unified Reinforcement Learning architectures that coordinate multiple elements, including pricing, dispatch, and supply positioning, while balancing diverse marketplace objectives
• Design frameworks for joint optimization of marketplace systems through hierarchical or multi-agent RL approaches that push the operational Pareto frontier
• Explore representations of data that consider supply-demand signals, behaviour elasticity, and factors like weather, traffic, and user intent
• Build interpretable models to capture passenger and driver decision-making across diverse scenarios and operational conditions
• Devise feedback loops to respond to passenger and driver behaviour, considering geographical differences and behavioural patterns over time
• Collaborate with data engineers and backend teams to refine and integrate optimization models into real-time production systems
• Work with the platform and experimentation teams to validate models in live environments and drive iterative improvements
• Guide technical teams by leading efforts in data science while fostering collaboration and excellence

What Essential Skills You Will Need

• You have a Master Degree in Computer Science, Operations Research, Applied Mathematics, or related field with at least 10 years of relevant experience
• You have experience with Reinforcement Learning, MDPs, stochastic control, or behavioural modelling under uncertainty
• You have experience deploying ML models in online learning systems, sequential decision frameworks, or simulation-based techniques for optimization tasks
• You have fluency in Python and experience with ML libraries such as PyTorch or TensorFlow for developing robust learning algorithms
• You are familiar with tools such as Spark or Ray to build scalable workflows for data-driven optimization and training
• You can bridge business challenges into concrete modelling problems with actionable outputs
• You have advanced skills to interpret platform data and understand marketplace elasticity, user behaviour, and external environmental influences, contributing to actionable insights for real-world applications

You may also apply directly via https://smrtr.io/wRtCm