Full-timeTech & engineering· Posted 14 Sept

Senior Data Scientist (Ads & Demand Optimization)

GrabFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

SingaporeGrab One North Singapore office

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

This role sits within the Ads and Demand Optimization team, working where machine learning, economics, and engineering meet. You will build algorithms that decide which ads and promotional offers reach which users, and you will help shape how ads inventory and promo budgets are used to improve returns for merchants, users, and the platform. It suits an experienced data scientist who enjoys open-ended marketplace problems and working closely with product and engineering partners.

What you'll do

Develop data science methods for ad ranking and automated promo assignment
Deploy uplift models and causal inference frameworks to grow promotional incrementality

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Improve ads auction mechanics and budget allocation to balance ecosystem health with platform ROI

Design experimentation frameworks such as A/B testing, switchback, and bandits, and evaluate CTR, CVR, and incremental GMV

Work with Product and Engineering to turn marketplace challenges into clear data science roadmaps

Good to know

Based onsite at the Grab One North Singapore office
Reports to the Data Science Manager II
FlexWork arrangements such as differentiated hours are available
Benefits include term life insurance and comprehensive medical insurance
GrabFlex lets you build a benefits package to suit your needs
Parental leave, birthday leave, and volunteering leave are provided
A confidential assistance programme is available for you and your loved ones

Requirements

Bachelor's degree in Computer Science or a related field
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
Strong foundations in statistical modelling, machine learning, and mathematical optimization
Proficiency in Python, SQL, and distributed data frameworks such as Spark for large-scale datasets
Able to explain complex concepts clearly and bring structure to open-ended product problems

Benefits

Term life insurance
Comprehensive medical insurance
GrabFlex flexible benefits package
Parental leave
Birthday leave
Love-all-Serve-all (LASA) volunteering leave

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Senior Data Scientist (Ads & Demand Optimization)

About the role

What you'll do

Good to know

Requirements

Benefits

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