Data Scientist, Ads and Demand Optimization (Contract)

We are looking for a Data Scientist to develop, deploy, and operate production-grade ranking and recommendation models. As a Data Scientist, Ads and Demand Optimization, you will 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.

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.
• 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.

QUALIFICATIONS:

• At least 1 year of hands-on industry experience as a Data Scientist or Machine Learning Engineer focusing on ranking, recommendation systems, or search.
• Demonstrated experience with learning-to-rank algorithms, CTR/CVR prediction, relevance modelling, or two-tower retrieval architectures.
• Experience with offline ranking evaluation metrics 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 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 through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.