全职 Lead Data Scientist (Analytics) - Digital Marketing 工作, 薪水, Grab 公司招聘中 - Ricebowl

Get to Know the Team

The Growth Data Science team is a key component of our regional growth strategy. We focus on creating and implementing innovative approaches to drive growth through performance marketing automation, machine learning models, geospatial insights, user lifecycle and funnel optimisation, behavioural forecasting, and other advanced analytics methods. Our work spans across transportation, food, fintech, logistics, and platform services.

Get to Know the Role

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. You'll work on end-to-end paid marketing analytics initiatives, with opportunities to design and implement sophisticated attribution models, incrementality studies, media mix modeling (MMM), causal inference methodologies, and AI-powered tools that enhance reporting, measurement, and experimentation capabilities.

You will directly report to the Senior Manager, you will be based working onsite.

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.

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.