Lead Data Scientist (Analytics) - Digital Marketing

Grab is Southeast Asia's leading superapp, providing various services such as food delivery, financial management, and transportation.

We are seeking a Data Scientist with deep expertise in paid marketing measurement, AI-driven analytics, and operations to join our growing team.

In this role, you'll collaborate with marketing leaders, analytics teams, and cross-functional stakeholders to solve complex digital marketing challenges using advanced measurement science, artificial intelligence, and data-driven approaches.

The Critical Tasks You Will Perform:

• Partner with marketing stakeholders to align measurement strategies with business goals, channels, and data constraints.
• Select and apply attribution, incrementality, and causal inference methods, explaining trade-offs and recommendations.
• Design and run experiments,including A/B tests, holdouts, matched markets, and geo-lift studies,to measure campaign impact.
• Build and maintain Media Mix Models (MMM) to assess channel effectiveness, guide budget allocation, and forecast performance.
• Develop AI and machine learning solutions to improve campaign targeting, bidding, experimentation, and measurement workflows.
• Build scalable data pipelines integrating paid media, conversion, and internal data using SQL, Spark, and cloud technologies.
• Create analytics tools and dashboards to track campaign performance, acquisition costs, and marketing ROI.
• Conduct exploratory analysis and statistical modeling; validate models and translate findings into actionable recommendations.
• Manage project plans, document methodologies, and communicate insights clearly to technical and non-technical stakeholders.
• Collaborate across marketing, analytics, product, and engineering teams; mentor junior analysts and data scientists.

QUALIFICATIONS: What Essential Skills You Will Need:

• 6+ years in data science and analytics, including 3+ years in paid marketing measurement and operations.
• Expertise in attribution modeling, including multi-touch, algorithmic, and rule-based approaches.
• Experience designing incrementality studies, A/B tests, holdout analyses, and geo-lift studies.
• Strong background in Media Mix Modeling (MMM) or marketing mix optimization.
• Hands-on experience building, optimizing, and deploying machine learning models for marketing.
• Proficiency in Python, SQL, Pandas, Scikit-learn, and Spark; familiarity with causal inference tools such as CausalML, DoWhy, or EconML.
• Experience with cloud data platforms, marketing datasets, ad platform APIs, and ETL pipelines.
• Familiarity with generative AI and LLMs for automating insights and reporting.

Life at Grab: We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours