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

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. 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.   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.

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.