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.
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.
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.
View our location
Nestled in the vibrant heart of Singapore is Grab's Global HQ! Take a tour of our office here, meet some of our teams and find out what it’s like to work in this vibrant cosmopolitan.
Meet the Data Science team
Our Data Science team is on a mission to create delightful experiences for our users. Every day, they dive into the data to uncover new and intelligent ways to deliver hyperlocal services and solutions to our communities in Southeast Asia.
Every small step of innovation at Grab has an instant impact on hundreds of millions of active users. Nothing is more exciting than facing challenges, exploring uncertainties and advancing the state-of-the-art in artificial intelligence.
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My journey has been fueled by a passion for making a tangible impact through data. Having been a Senior Data Scientist at GrabFin, and now a Lead Data Scientist at Grabads, I found the perfect opportunity to work with massive datasets, which has led to greater impact in my work.
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I get to bring data to life throughout the product journey – from scoping problems and setting metrics to experimenting and tweaking things for the better. It's not just about numbers; it's about actively shaping and improving our products every day.
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The Application Process
What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like.
Step 1: Apply.
We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate.
Step 2: Getting to know you.
Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences.
Step 3: Testing, testing… 123.
Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details.
Step 4: Is it a culture match?
Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.
