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

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.