Description
Grab is seeking a Lead Data Scientist to join the Growth Data Science team, focusing on driving growth through performance marketing automation, machine learning models, and advanced analytics methods.
The successful candidate will 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.
Key responsibilities include:
- Partnering with marketing stakeholders to align measurement strategies with business goals
- Selecting and applying attribution, incrementality, and causal inference methods
- Designing and running experiments to measure campaign impact
- Building and maintaining Media Mix Models (MMM) to assess channel effectiveness
- Developing AI and machine learning solutions to improve campaign targeting and measurement workflows
- Building scalable data pipelines integrating paid media, conversion, and internal data
- Creating analytics tools and dashboards to track campaign performance
- Conducting exploratory analysis and statistical modeling
- Managing project plans and communicating insights to stakeholders
The ideal candidate will have:
- 6+ years of experience in data science and analytics, including 3+ years in paid marketing measurement and operations
- Expertise in attribution modeling, incrementality studies, and Media Mix Modeling
- Strong background in machine learning and AI
- Proficiency in Python, SQL, Pandas, Scikit-learn, and Spark
- Experience with cloud data platforms, marketing datasets, and ETL pipelines
Grab offers various benefits, including term life insurance, comprehensive medical insurance, GrabFlex, parental and birthday leave, and a confidential Grabber Assistance Programme.