Data Scientist, Ads and Demand Optimization (2 year contract)

Company 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.

Job Description

Get to Know the Team

Join our Demand and Personalization data science team, where machine learning, economics and engineering meet. We build the ranking, recommendation and incentive systems that decide what users see and which offers they receive. The aim is to maximize value for users, merchants and the platform. Our models run in production across multiple Southeast Asian markets.

Get to Know the Role

We are looking for a Data Scientist to build and run ranking and recommendation models in production. Reporting to the Data Science Manager II, this is a full-time onsite 24 months contract role at Grab One North Singapore office. You will work with senior data scientists and engineers, and own end to end: data pipelines, modelling, online experiments and production operations.

The Critical Tasks You Will Perform

• Own training-data pipelines for production ranking models across markets, including on-call.
• Improve ranking quality through feature engineering and personalization signals.
• Measure impact with A/B tests and long-term holdouts.
• Build recommendation services, such as discount suggestions, with Engineering.
• Maintain production ML services, including daily pipelines, backfills and monitoring.

Qualifications

What Essential Skills You Will Need

• Experience: 1–3 years as a Data Scientist or ML Engineer working on ranking, recommendation or search. A strong advanced degree with relevant internships also qualifies.
• Ranking / RecSys Foundations: Hands-on experience with learning-to-rank, CTR/CVR or relevance modeling, or retrieval models (e.g., GBDT, two-tower, deep ranking architectures).
• Evaluation & Experimentation: Familiar with offline ranking metrics (e.g., NDCG, MRR, AUC), A/B testing and hypothesis testing.
• Data Engineering: Proficient in Python and SQL. 1+ years of experience building reliable pipelines with Spark and Airflow.
• Communication: Explains results clearly and works well with Product, Engineering and Analytics.

 

Additional Information

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 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

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.