Growth Data Science Lead - Paid Marketing Analytics & AI

Grab; Petaling Jaya; On-site; MYR 280,000 - 420,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork

Job summary

Grab, Southeast Asia's leading superapp, seeks a Lead Data Scientist (Analytics) for Digital Marketing to lead paid marketing measurement, AI-driven analytics, and operations.

You will partner with marketing leaders and analytics teams to design advanced attribution models, MMM frameworks, and geo-lift studies, and to automate reporting with AI-powered insights. You will mentor junior analysts while shaping measurement roadmaps and driving ROI across paid channels.

Qualifications

• 5+ years of hands-on data science and analytics experience.
• 3+ years in paid marketing measurement and operations.
• Expertise in attribution modeling (multi-touch, algorithmic, rule-based).
• Experience with MMM and marketing mix optimization.
• Experience with geo-lift studies or other geo-based causal inference studies.
• Proficiency in Python, SQL and tools like Pandas, Scikit-learn, Spark.

Responsibilities

• Partner with marketing leaders to understand objectives, channels, data sources and measurement constraints.
• Design advanced attribution methodologies and compare models; evaluate trade-offs.
• Develop and execute incrementality studies including A/B tests and holdout analyses.
• Build MMM frameworks to quantify paid spend impact and forecast performance.
• Conduct geo-lift studies to validate regional marketing ROI.
• Lead data scientists and analysts, mentor junior team members.

Skills

Paid marketing measurement

Attribution modeling

MMM / marketing mix modeling

Geo-lift studies

AI-powered analytics

Leadership / mentoring

Tools

Python

SQL

Spark

AWS Redshift

Job description

Grab, Southeast Asia's leading superapp, seeks a Lead Data Scientist (Analytics) for Digital Marketing to lead paid marketing measurement, AI-driven analytics, and operations.

You will partner with marketing leaders and analytics teams to design advanced attribution models, MMM frameworks, and geo-lift studies, and to automate reporting with AI-powered insights. You will mentor junior analysts while shaping measurement roadmaps and driving ROI across paid channels.