Senior Data Scientist (Search and Recommendations)

Role Overview

Join our Search and Recommendations team to design and build machine learning systems that power search ranking and personalized recommendations at scale. You will work onsite at Grab One North Singapore office and report into the Senior Data Science Manager.

What You Will Do

Design and implement deep learning algorithms for search ranking, session-based recommendations, and multi-objective personalization systems. Fine-tune and deploy Large Language Models (LLMs) to improve search query understanding and recommendation relevance.

Why It Might Be a Fit

To perform the tasks above, you will need a Master's in Computer Science, Operations Research, Statistics, or equivalent quantitative field, or equivalent practical experience building production ML systems at scale. You will also need at least 3 years of experience building and deploying deep learning models for search, recommendation systems, or NLP applications in production environments.

Requirements

• Master's in Computer Science, Operations Research, Statistics, or equivalent quantitative field
• At least 3 years of experience building and deploying deep learning models for search, recommendation systems, or NLP applications in production environments
• Hands-on experience with Python and Scala to build data pipelines and model serving systems that process high-volume user interaction data
• Proficiency in at least one deep learning framework (PyTorch, TensorFlow, or JAX) to implement neural network architectures for ranking and sequence modelling
• Experience with LLM fine-tuning and deployment using frameworks such as Hugging Face Transformers or similar tools to adapt pre-trained models for search and recommendation tasks
• Demonstrated experience with A/B testing frameworks and statistical evaluation methods to measure model impact on user behaviour metrics
• Experience deploying models to production using ML serving infrastructure (such as TensorFlow Serving, TorchServe, or cloud-based ML platforms) and optimising for latency constraints

Benefits

• Term Life Insurance
• comprehensive Medical Insurance
• GrabFlex benefits package
• Parental leave
• Birthday leave
• Love-all-Serve-all (LASA) volunteering leave
• Grabber Assistance Programme