Senior Data Scientist (Consumer Experience)

Company Overview

Grab is Southeast Asia's premier superapp, offering a wide array of services that simplify everyday life—from food delivery and financial management to seamless transportation options. Leveraging Technology and AI, Grab is on a mission to propel Southeast Asia forward by empowering everyone economically, guided by values of heart, hunger, honour, and humility.

Team Introduction

The Consumer Experience team is dedicated to delivering excellent user experiences throughout the app. Their data science efforts tackle challenges such as ranking algorithms, recommendations, agentic large language model (LLM) chatbots, and content generation. The team has a hands-on approach involving the complete data lifecycle—from data processing to balancing model complexity with production deployment.

Role Overview

The position focuses on advancing a communications targeting system by designing relevance ranking methods, translation models, and innovative marketing content generation initiatives. Based in Grab's One North Singapore office, the role reports to the Senior Data Science Manager and plays a key part in shaping user interaction for millions on the platform.

Key Responsibilities

• Improve communication targeting by developing algorithms for relevance ranking, translation models, and agentic marketing content generation.
• Analyze both quantitative and qualitative user data to gain behavioral insights that inform personalization strategies.
• Collaborate closely with product, marketing, and engineering teams to oversee the full lifecycle of ML and LLM model design, implementation, and deployment.
• Create and validate robust models, develop data pipelines, and establish frameworks for observability and evaluation of production systems.
• Utilize Generative AI and AI coding assistants to accelerate model development, automate data processing, and optimize evaluation workflows.

Essential Qualifications

• A minimum of 4 years’ experience in data science or machine learning, supported by a Master's degree in Computer Science, Engineering, Mathematics/Statistics, or a related technical field.
• Proficient programming skills in Python, R, or Java, with experience in building data pipelines and ETL processes.
• Expertise in predictive modeling techniques such as logistic regression, neural networks, decision trees, and heuristic models, with an understanding of their production trade-offs.
• Hands-on experience with ML/DL libraries and frameworks including Scikit-Learn, Pandas, XGBoost, TensorFlow, or PyTorch.
• Practical knowledge managing the entire ML lifecycle: feature selection, hyperparameter tuning, and model validation.
• Familiarity with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute innovative ideas.

Additional Information

• Comprehensive Term Life and Medical Insurance coverage.
• Customizable benefits package through GrabFlex tailored to individual needs.
• Special leave options including Parental, Birthday, and volunteering leave under the Love-all-Serve-all (LASA) program.
• Access to a confidential Employee Assistance Program for personal and family support.

Commitment to Diversity and Inclusion

Grab upholds a workplace culture of inclusion and equity where diverse employees can thrive and perform optimally. The company is an equal opportunity employer, ensuring fair consideration regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family status, physical or mental abilities, or other personal attributes.