# Data Scientist, Ads and Demand Optimization (Contract)

**Company**: Grab
**Location**: Singapore, Singapore
**Work arrangement**: onsite
**Job type**: contract
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.smartrecruiters.com/Grab/744000161228180-data-scientist-ads-and-demand-optimization-contract-?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-scientist-ads-and-demand-optimization-cee0e7e5-6f6/

## Description

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.

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Python
- SQL
- Apache Spark
- Airflow
- Machine Learning
- Data Science
- Generative AI

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Grab/744000161228180-data-scientist-ads-and-demand-optimization-contract-?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)