Senior Data Scientist - Ads and Demand Optimization

About Grab and Our Workplace

Grab is Southeast Asia's premier superapp, facilitating everything from meal deliveries to financial management and seamless travel. The company champions purpose-driven work, excellence through habit, and leverages cutting-edge Technology and Artificial Intelligence to support its mission of advancing Southeast Asia by economically empowering all, grounded in values of heart, hunger, honor, and humility.

Role Overview

The Ads and Demand Optimization Team integrates machine learning, economics, and engineering disciplines to craft algorithms that deliver targeted advertisements and promotional incentives effectively. This team focuses on optimizing ad inventory and promotional spending to elevate Return On Investment (ROI) for merchants, users, and the platform. The Senior Data Scientist (G4) role involves creating algorithmic frameworks that influence user journeys, manage ad auctions, and administer promotional budgets. This position is based onsite at Grab's One North Singapore campus and reports to the Data Science Manager II.

Key Responsibilities

• Create data science methodologies for ad ranking and automated promotional assignments.
• Lead efforts in causal inference using uplift models to enhance promotional effectiveness.
• Refine ads auction mechanics and manage budget allocation to maintain ecosystem balance and maximize platform ROI.
• Design and implement experimental and evaluation frameworks, including A/B testing, switchback, and bandit algorithms, to assess metrics like CTR, CVR, and incremental GMV.
• Collaborate with Product and Engineering teams to translate complex marketplace challenges into actionable data science plans.

Essential Qualifications and Skills

• Bachelor's Degree in Computer Science or related disciplines.
• Minimum of 4 years' experience in data science roles focused on ads ranking, recommendation systems, uplift modeling, or marketplace optimization.
• Strong expertise in causal inference, uplift modeling, experimental design, and ads auction theory.
• Solid foundation in statistical modeling, machine learning, and mathematical optimization.
• Proficient in Python, SQL, and distributed computing frameworks such as Apache Spark to handle large-scale datasets.
• Excellent communication skills, capable of simplifying complex concepts and providing structured clarity to open-ended product challenges.

Additional Information - Life at Grab

• Comprehensive Term Life and Medical Insurance coverage.
• Flexible benefits through GrabFlex, allowing personalization of benefits packages.
• Generous parental and birthday leaves along with community volunteering opportunities via the Love-all-Serve-all (LASA) program.
• Access to a confidential Grabber Assistance Program supporting employees and families through various life challenges.
• Options for flexible work arrangements, including varied working hours to support personal commitments.

Our Commitment

Grab is devoted to fostering an inclusive and equitable workplace that supports the growth and success of its diverse workforce. The company is an equal opportunity employer, ensuring fair consideration regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family status, disabilities, or any unique attributes.