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Singapore, Singapore
Live, first seen by us 1 day agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Develop data science methods for ad ranking and automated promo assignment
Deploy uplift models and causal inference to raise promotional incrementality
Improve ads auction mechanics and budget allocation
Design A/B, switchback and bandit experiments measuring CTR, CVR and incremental GMV
Turn marketplace problems into data science roadmaps with Product and Engineering
Develop data science methodologies for ad ranking and automated promo assignment.
Deploy uplift models and causal inference frameworks to maximise promotional incrementality.
Improve ads auction mechanics and budget allocation to balance ecosystem health and platform ROI.
Design frameworks (A/B testing, switchback, bandits) evaluating CTR, CVR, and incremental GMV.
Partner with Product and Engineering to translate marketplace challenges into clear data science roadmaps.
Experience: At least 4 years as a Data Scientist in ads ranking, recommendation, uplift modelling, or marketplace optimization.
Communication: Ability to translate complex concepts and bring structural clarity to open-ended product problems.
What Essential Skills You Will Need - Qualification: Bachelor's Degree in Computer Science or related fields - Experience: At least 4 years as a Data Scientist in ads ranking, recommendation, uplift modelling, or marketplace optimization.
Grab is Southeast Asia's leading superapp.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 1
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
53 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Foundations: statistical modelling, machine learning, and mathematical optimization foundations. - Tools: Proficiency in Python, SQL, and distributed data frameworks like Spark for large-scale datasets. - Communication: Ability to translate complex concepts and bring structural clarity to open-ended product problems.
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Already applied? Track this application
Yes. We’ve followed one other Senior Data Scientist (Ads & Demand Optimization) job there since September 2026. It came down after 48 days.
Get to Know the Team
Join our Ads and Demand Optimization Team, sitting at the intersection of machine learning, economics, and engineering. We design algorithms ensuring the right ads and promotional incentives reach the right audience. We optimise ads inventory and promotional spend to maximise Return On Investment (ROI) for merchants, users, and the platform. We focus on architecting the "brains" behind the system—solving complex marketplace challenges.
Get to Know the Role
We are looking for a Senior Data Scientist (G4) to bridge ads ranking and demand personalization. You'll develop algorithmic frameworks that shape user journeys, govern ads auctions, and allocate promotional budgets.
You'll report into the Data Science Manager II and based onsite at Grab One North Singapore office.
The Critical Tasks You Will Perform
What Essential Skills You Will Need
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
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.
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.
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Singapore, Singapore
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