Growth Data Science Manager — Paid Marketing Analytics

GrabTaxi Holdings Pte. Ltd.; Jakarta Pusat; On-site; IDR 400,000,000 - 800,000,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits customization

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork arrangements

Job summary

GrabTaxi Holdings Pte. Ltd. seeks a seasoned Manager, Growth Data Science - Digital Marketing to lead paid marketing measurement, AI-driven analytics, and operations.

You will partner with marketing, analytics, and product teams to tackle end-to-end analytics initiatives, including attribution, incrementality, and MMM projects across regions. You will report to the Senior Manager and work onsite in Jakarta, driving measurement science, automation, and data-driven decision making for scalable

Qualifications

• 5+ years of hands-on experience in data science and analytics, with at least 3+ years specifically focused on paid marketing measurement and operations
• Demonstrated expertise in attribution modeling methodologies (multi-touch, algorithmic, rule-based approaches)
• Proven experience designing and executing incrementality studies, A/B tests, and holdout analyses for paid marketing campaigns
• Strong background in Media Mix Modeling (MMM) or marketing mix optimization
• Experience designing and conducting geo-lift studies or other geographically-based causal inference studies
• Familiarity with causal Hands-on experience building and deploying machine learning models for marketing applications, including model optimization and performance tuning
• Proficiency in Python, SQL, and tools like Pandas, Scikit-learn, and Spark
• Working knowledge of cloud data platforms (e.g., AWS S3, Redshift) for managing large-scale marketing datasets
• Experience with marketing data sources and ad platform APIs (Google Ads, Facebook Ads, etc.)
• Manage data pipelines and ETL processes with a solid understanding of data engineering best practices
• Familiarity with statistical software or packages for causal inference (e.g., CausalML, DoWhy, EconML)
• Familiarity with generative AI tools and large language models (LLMs) for automating insights generation and reporting

Responsibilities

• Lead cross-functional collaboration between marketing, analytics, product, and data engineering teams to ensure measurement frameworks align with business objectives
• Communicate complex measurement science concepts, AI capabilities, and statistical findings to non-technical stakeholders, translating results into applicable marketing recommendations
• Mentor junior analysts and data scientists on measurement methodologies, AI-driven analytics best practices, paid marketing analytics, and causal inference techniques
• Design and implement advanced attribution methodologies (multi-touch, algorithmic, and rule-based models) to accurately measure campaign contribution across paid channels and customer touchpoints
• Develop and execute incrementality measurement studies to isolate true campaign impact, including A/B testing, holdout analysis, and matched market approaches for paid marketing campaigns
• Build and maintain Media Mix Modeling (MMM) frameworks to quantify the impact of paid marketing spend across channels, optimize budget allocation, and forecast campaign performance
• Design and conduct geo-lift studies to measure causal impact of paid marketing initiatives at regional or market levels, supporting strategic decision-making and ROI validation
• Conduct rigorous A/B tests and multivariate tests to improve paid campaign performance, measure incremental lift, and increase conversion rates and customer acquisition efficiency
• Collaborate with stakeholders to align on measurement methodology, success metrics, deliverables, and project roadmaps for all paid marketing analytics projects
• Develop AI-driven experimentation frameworks that automate test design, statistical analysis, and result interpretation, enabling faster iteration and more sophisticated measurement of marketing impact
• Create and maintain efficient data pipelines using SQL, Spark, and cloud-based big data technologies to ingest, process, and integrate paid marketing data from ad platforms, conversion tracking systems, and internal data sources
• Collect, clean, and integrate large datasets from multiple marketing channels (paid search, social, display, video) and attribution platforms to support measurement requirements
• Build analytics tools and dashboards that deliver applicable insights on campaign performance, channel effectiveness, customer acquisition costs, and marketing ROI

Skills

Paid marketing measurement

Attribution modeling

Incrementality testing

A/B testing

MMM / marketing mix

Geo-lift studies

Causal inference

Python

SQL

Spark

Cloud platforms

Ad platform APIs

ETL pipelines

Generative AI tools

Tools

Pandas

Scikit-learn

AWS S3

Redshift

Job description

GrabTaxi Holdings Pte. Ltd. seeks a seasoned Manager, Growth Data Science - Digital Marketing to lead paid marketing measurement, AI-driven analytics, and operations.

You will partner with marketing, analytics, and product teams to tackle end-to-end analytics initiatives, including attribution, incrementality, and MMM projects across regions. You will report to the Senior Manager and work onsite in Jakarta, driving measurement science, automation, and data-driven decision making for scalable