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Senior Data Scientist (Ads & Demand Optimization)

Pay
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Education & alternatives
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.

About Grab

Grab is Southeast Asia's leading superapp.

In the employer’s words · Read in context

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Posting record

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Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Reposted
once since Sep 15, 2026

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.

How this job compares

Time since we first saw it

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.

Grab is hiring

53 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down at a usual pace
  • 28% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Python
  • SQL
  • Spark
Where the posting names them
- 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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Has Grab posted this job before?

Yes. We’ve followed one other Senior Data Scientist (Ads & Demand Optimization) job there since September 2026. It came down after 48 days.

  1. SingaporeCame down after 48 days, first seen Sep 15
  2. This jobUp 1 day so far, first seen Nov 3

Job description

View original posting ↗

Job Description

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

  • Design Optimization Frameworks: Develop data science methodologies for ad ranking and automated promo assignment.
  • Lead Causal Inference: Deploy uplift models and causal inference frameworks to maximise promotional incrementality.
  • Optimise Auctions: Improve ads auction mechanics and budget allocation to balance ecosystem health and platform ROI.
  • Experimentation and Metrics: Design frameworks (A/B testing, switchback, bandits) evaluating CTR, CVR, and incremental GMV.
  • Collaborate: Partner with Product and Engineering to translate marketplace challenges into clear data science roadmaps.

Qualifications

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.
  • Methodology: Expertise in causal inference, uplift modelling, experimental design, or ads auction theory.
  • 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.

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.

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.

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Singapore, Singapore

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