Senior Data Scientist — Personalization & GenAI

Data Science; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Grab is seeking an experienced Data Scientist with an AI product mindset to push the frontier of personalization. This role is based in Grab One North Singapore office, and you will focus on enhancing a communications targeting system with relevance ranking, translation models, and agentic marketing content generation.

You will analyse quantitative and qualitative data to understand user behavior and inform personalization strategies, and collaborate with product, marketing and engineering teams

Qualifications

• Experienced Data Scientist with AI product mindset.
• Focus on relevance ranking, translation models, and GenAI content generation.
• Collaborates with product, marketing and engineering teams on ML/LLM deployment.

Responsibilities

• You will enhance communication targeting systems by developing relevance ranking algorithms, translation models, and agentic marketing content generators.
• You will analyse quantitative and qualitative data to develop a deep behavioural understanding of our users and inform personalization strategies.
• You will collaborate with product, marketing, and engineering teams to manage the end-to-end lifecycle of designing, implementing, and deploying ML and LLM models.
• You will build and test robust models, develop data pipelines, and establish observability and evaluation frameworks for systems in production.
• You will leverage Generative AI (GenAI) and AI coding assistants to accelerate model development, automate data wrangling, and streamline your evaluation workflows.

Job description

Grab is seeking an experienced Data Scientist with an AI product mindset to push the frontier of personalization. This role is based in Grab One North Singapore office, and you will focus on enhancing a communications targeting system with relevance ranking, translation models, and agentic marketing content generation.

You will analyse quantitative and qualitative data to understand user behavior and inform personalization strategies, and collaborate with product, marketing and engineering teams