Senior Data Scientist, Ads & Demand Optimization

GrabTaxi Holdings Pte. Ltd.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

Parental leave

Birthday leave

Volunteering leave

Grabber Assistance Programme

FlexWork arrangements

Job summary

GrabTaxi Holdings Pte. Ltd. is seeking a Senior Data Scientist in Singapore to enhance ads ranking and demand personalization. This role requires developing algorithmic frameworks and collaborating with Product and Engineering teams.

You will focus on innovations in ad auctions, promotional budgets, and usage of machine learning and statistical modeling. A Bachelor's degree in Computer Science and at least 4 years of relevant experience is essential.

Qualifications

• At least 4 years as a Data Scientist in ads ranking, recommendation, uplift modelling, or marketplace optimization.
• Expertise in causal inference, uplift modelling, experimental design, or ads auction theory.
• Ability to translate complex concepts and bring structural clarity to open-ended product problems.

Responsibilities

• 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.

Skills

Causal inference

Uplift modeling

Statistical modeling

Machine learning

Mathematical optimization

Python proficiency

SQL proficiency

Data frameworks like Spark

Communication skills

Education

Bachelor's Degree in Computer Science or related fields

Job 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.

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.

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.

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.