# Data Scientist, Ads and Demand Optimization (Contract) at Grab

Grab is hiring a Data Scientist, Ads and Demand Optimization (Contract) in Singapore, Singapore. Level rates it Builds AI ●●●●; you can [apply on Grab](https://jobsbylevel.com/go/39f8fe44-54c0-494e-b7ac-c3f646ac076d?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Singapore, Singapore.

## Details

- Company: [Grab](https://jobsbylevel.com/companies/grab)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Singapore, Singapore
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/39f8fe44-54c0-494e-b7ac-c3f646ac076d?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-scientist-ads-and-demand-optimization-contract-at-grab-edfa27

## Prepare for this job

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## Description

About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. 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. What Essential Skills You Will Need At least 1 year of hands-on industry experience as a Data Scientist or Machine Learning Engineer focusing on ranking, recommendation systems, or search (or an advanced degree in Computer Science, Statistics, Operations Research, or a related field with relevant production internship experience). Demonstrated experience with learning-to-rank algorithms, CTR/CVR prediction, relevance modelling, or two-tower retrieval architectures (e.g., GBDT, deep ranking models). Experience with offline ranking evaluation metrics (e.g., NDCG, MRR, AUC, MAP) alongside practical experience designing, analyzing, and interpreting online A/B tests. Programming proficiency in Python and SQL, with at least 1 year of practical experience building and debugging production pipelines using Apache Spark and Airflow. Practical understanding of deploying ML models into real-world production environments, handling latency tradeoffs, and monitoring pipeline health. Experience engaging with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute new ideas. Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-scientist-ads-and-demand-optimization-contract-at-grab-edfa27

Source: https://jobsbylevel.com/jobs/data-scientist-ads-and-demand-optimization-contract-at-grab-edfa27

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