Lead Data Scientist (Analytics) - Digital Marketing
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 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.
You will directly report to the Senior Manager. You will be based 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.
About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
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
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
Meet the Data Analytics team
Our Data Analysts harness the power of analytical thinking and sprinkle data-driven insights across every area of Grab’s business. But we don’t just crunch data all day, we collaborate with teams across the company, and love tackling the tricky problems they bring our way.
Aside from being platform builders, we do tonnes of detective work to uncover key insights from our data. We’ll continue to experiment and improve the experience so that more users can benefit from our services across Grab.
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Want to leave your mark through data-driven product thinking? I know I do, and that’s what drives me to work all day every day! And, what’s even better is working with some of the most intellectual, driven, kind and authentic people I know who are my Grab friends forever!
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The Application Process
What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like.
Step 1: Apply.
We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate.
Step 2: Getting to know you.
Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences.
Step 3: Testing, testing… 123.
Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details.
Step 4: Is it a culture match?
Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.
