Senior Data Scientist (Analytics)
Get to Know the Team
The GrabFood Analytics team is part of ACE Analytics, which covers GrabFood, GrabMart, GrabExpress and OmniCommerce. We are the product analytics partners to the GrabFood product organisation across six Southeast Asian markets. Each analyst owns one or two product problem spaces end-to-end. They define the metrics that matter, design and read the experiments behind every launch, and run the deep dives that decide what gets built next. We work AI-first: analysts build and share reusable AI workflows that take on the repetitive parts of the job, so our time goes to judgement and product thinking. This is a new seat, created to take on additional product problem spaces.
Get to Know the Role
Reporting to the Senior Analytics Manager, you will be the analytics owner. You will also be the advisor for one to two GrabFood product problem spaces. These problem spaces may include, for example, ordering experience and conversion, merchant discovery and content, delivery reliability and demand shaping, or affordability and promotions. You will work directly with the product manager, designers, engineers and data scientists for that space, most of whom are based in Singapore, and with country teams across the region.
This is a senior individual-contributor role. You set the metrics. You design an experiment and read it. You make the ship, iterate or stop recommendation and hold it when the data says so. You decide what to prioritise when several partners need you in the same week.
This is a product analytics role, not a machine-learning role: your time goes to metrics, experiments, root-cause analysis and product decisions, not to model building.
We base this role in Petaling Jaya and will require you to work onsite.
The Critical Tasks You Will Perform
- You will define the metrics for your problem space: the primary metric at the exact step a feature changes, the leading and lagging indicators around it, and the guardrails that catch the failure modes.
- You will design and analyse controlled experiments with your product manager: hypothesis, randomisation unit, success metric, sample size and duration, guardrails, and the checks that keep a result honest. You will turn results into a clear ship, iterate or stop recommendation.
- You will diagnose metric movements systematically. This will involve, locating the movement, decomposing it, cutting it by funnel step, segment, platform, and market. After that, ruling out tracking and data-quality causes. Finally, explaining it why.
- You will size opportunities and run proactive deep dives into consumer, merchant and driver-partner behaviour that shape the roadmap rather than report on it.
- You will oversee the data specifications and instrumentation for new features with engineering, so the data exists to measure what you planned to measure.
- You will build the dashboards and certified metrics that give the product team reliable self-serve visibility.
- You will build AI-assisted analytics workflows for yourself and the team, validated against raw data and business logic, and share what works.
- You will improve on experimentation and analytical rigour across the problem spaces you touch, and coach junior analysts as the team grows.
What Essential Skills You Will Need
- At least 4 years in analytics or quantitative roles, with at least 2 years of experience where you owned the metrics for a consumer product, growth, pricing, CRM, or marketing programme. Experience in data analytics is a bonus. It is especially valuable in industries such as food or grocery delivery and e-commerce marketplaces. It is also valuable in ride-hailing and super-apps, e-wallets and digital banking, travel, telco digital products, and consumer FinTech.
- Fluent SQL on large datasets, and proficient Python or R for analysis.
- Hands-on experience designing and analysing controlled experiments: A/B tests, holdouts, or well-designed quasi-experiments such as difference-in-differences or synthetic control where randomisation was not possible. You can explain why you chose the design, what could bias it, and how you read a result that is not clean.
- Sound statistics applied to decisions: hypothesis testing, confidence intervals, sample size and power, multiple comparisons, selection bias and mix shifts. You can explain these in plain language to a product manager, and you know when a method breaks.
- Precise metric framing: You can define the right metric for a change. This includes specifying its numerator, denominator, and the population it is measured on. Additionally, you can distinguish a feature-engagement metric from a conversion metric.
- Structured solutioning on ambiguous questions: You lay out the space before you commit to a hypothesis, and you can write the analysis plan before you open a notebook.
- Manage partner trade-offs: You set priorities across competing asks, say no with reasons, and keep quality on what you ship. You close your own knowledge gaps quickly and act on feedback.
- Clear communication: you make the finding and the decision clear to product leaders and engineers alike, in writing and live.
- You use AI tools in your supervised analytics workflow, validating output against raw data and business logic.
- At least a Bachelor's degree in Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics or another quantitative field.
What Would Be Good to Have
- Experience in food delivery, marketplaces or super-apps across Southeast Asian markets.
- Experience with an experimentation platform, or having built experiment analysis tooling.
- Causal inference methods beyond A/B testing.
- Dashboarding in tools like Tableau, Superset or PowerBI; build data pipelines.
- Have built a reusable AI workflow, skill or agent that your team adopted.
- Coach analysts.
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.
View our location
For over a decade, Grab has seamlessly connected Malaysian people to a range of services—food, groceries, rides, and more. Take a tour and get to know this one-stop destination for making life more convenient for the local community.
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.
