Senior Growth Data Scientist — Paid Marketing Analytics

PT Solusi Transportasi Indonesia; Jakarta Utara; On-site; IDR 350,000,000 - 750,000,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits program

Parental and Birthday leave

Job summary

Grab is seeking a Lead Data Scientist (Analytics) for Digital Marketing to lead paid marketing measurement, attribution, and AI-driven analytics. You will shape end-to-end analytics across performance marketing, MMM, and causal inference, collaborating with marketing, analytics, and data engineering teams.

You will design robust measurement frameworks, conduct geo-lift studies, and automate reporting with ML tools to drive optimization and ROI across SEA markets.

Qualifications

• 5+ years of hands-on experience in data science and analytics, with at least 3+ years focused on paid marketing measurement and operations.
• Expertise in attribution modeling (multi-touch, algorithmic, rule-based).
• Experience designing/invoking incrementality studies, A/B tests, holdout analyses for paid campaigns.

Responsibilities

• Lead paid marketing measurement and analytics initiatives across channels and regions.
• Design and implement advanced attribution models and MMM frameworks.
• Develop AI-driven measurement tools and automation for reporting and decision making.

Skills

Paid marketing measurement

Attribution modelling

Incrementality testing

A/B testing

Media mix modeling

Geolift / geo-based causal inference

Python

SQL

Cloud data platforms

Marketing APIs

ML for marketing

Education

Bachelor’s/Master’s in a relevant field

Tools

Spark

Pandas

DoWhy / EconML

AWS S3 / Redshift

Job description

Grab is seeking a Lead Data Scientist (Analytics) for Digital Marketing to lead paid marketing measurement, attribution, and AI-driven analytics. You will shape end-to-end analytics across performance marketing, MMM, and causal inference, collaborating with marketing, analytics, and data engineering teams.

You will design robust measurement frameworks, conduct geo-lift studies, and automate reporting with ML tools to drive optimization and ROI across SEA markets.