Senior Data Scientist (Search & Personalisation)

Data Science; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Join a leading team as a Senior Data Scientist, focusing on developing scalable machine learning algorithms for Search and Ranking at Grab. Collaborate with passionate Data Scientists and work on cutting-edge technologies, including Natural Language Processing and Large Language Models, to enhance user experiences.

Qualifications

• Experience in processing large-scale datasets for model development.
• Proficiency in designing and implementing scalable machine learning algorithms.

Responsibilities

• Process large-scale datasets for model development and training.
• Design and implement efficient, scalable machine learning algorithms.
• Deploy models to production environments, focusing on robustness.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Large Language Models

Job description

Get to know the team

You'll be part of the SNP Data Science Search and Ranking team, an established group dedicated to enhancing Grab Food and Mart Search and Ranking experiences. We focus on developing cutting-edge Deep Learning models to deliver user experiences. Our team comprises passionate Data Scientists with various expertise. If searching for Search and Ranking challenges excites you, we'd love to have you join us!

Get to know the job

As a Senior Data Scientist, you'll create scalable machine learning algorithms. Your work will span important areas like Search, Ranking, Natural Language Processing, and Large Language Models (LLMs), all contributing to Grab's growth. You will be based onsite at Grab Singapore One North office and report to the Senior Data Science Manager

The Critical Tasks You Will Perform:

• You will process large-scale datasets for model development and training.
• You will design and implement efficient, scalable machine learning and deep learning algorithms.
• You will evaluate how algorithms perform within search systems and improve relevance and efficiency.
• You will deploy models to production environments, focusing on robustness and maintainability.
• You will run A/B tests to assess model performance, troubleshoot issues, and pinpoint opportunities for improvement.
• You will keep up with recent advances in Search, Ranking, NLP, and LLMs.
• You will work closely with backend engineers, product managers, analysts, and UX designers.