Data Scientist, Ads and Demand Optimization (Contract)

Get to Know the Team

Join our Demand and Personalization Data Science team, where machine learning, economics, and large-scale engineering intersect. We build the core ranking, recommendation, and algorithmic incentive systems that determine what millions of users see and which merchant offers they receive across Southeast Asia. Our work directly drives discovery, engagement, and platform marketplace efficiency at scale, operating within high-throughput, low-latency production environments.

Get to Know the Role

We are looking for a Data Scientist to develop, deploy, and operate production-grade ranking and recommendation models. Reporting to the Data Science Manager II, this is a full-time 24 months contract role based onsite at the Grab One-North Singapore office. You'll collaborate with senior data scientists, product managers, and software engineers to own models end-to-end—from feature engineering and offline experimentation to live deployment and monitoring. If you're passionate about solving high-stakes marketplace algorithms at consumer scale, we invite you to apply.

The Critical Tasks You Will Perform

• Design, optimize, and maintain training-data and feature extraction pipelines across regional markets, ensuring data integrity and system reliability (including participating in team on-call rotations).
• Formulate, engineer, and validate new user and merchant personalization signals to measurably improve discovery relevance, CTR, and conversion.
• Formulate testable algorithmic hypotheses, run online A/B experiments, and monitor long-term holdout groups to rigorously measure business and user impact.
• Collaborate with Engineering to design, deploy, and scale real-time recommendation services and automated incentive allocation systems under strict SLA and latency budgets.
• Manage production ML operations, including automated retraining pipelines, feature backfills, telemetry, and proactive drift monitoring.
• Leverage Generative AI (GenAI) coding tools and AI-assisted workflows to accelerate model prototyping, automate repetitive data scripts, and drive team innovation.

Function: Engineering
Experience Level: Associate