Senior Data Scientist

Overview

Senior Data Scientist (Analytics) at Grab .

Join to apply for the Senior Data Scientist (Analytics) role at Grab .

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.

Job Description Get to Know the Team

Our Search and Personalisation Team focuses on advancing scalable machine learning and experimentation frameworks that power search relevance, ranking, and recommendations across Grab. By leveraging cutting-edge analytics and statistical methods, we continuously optimize how users connect with merchants, services, and content.

Get to Know the Role

In this role, you will work closely with product managers, data scientists, engineers and product designers to define hypotheses, design experiments, and deeply understand user needs, pain points, and business goals. You will act as a strategic partner throughout the product development lifecycle — offering analytical support from ideation to execution—and help prioritize features through data-driven insights. You will be based in Singapore and reporting to Head of Analytics.

The Critical Tasks You Will Perform

• Design and run A/B tests and quasi-experiments to evaluate the impact of product changes on key metrics like engagement, retention, and conversion.
• Analyze experiment results and generate actionable insights to guide product improvements.
• Conduct deep-dive user behavior analyses using statistical techniques and machine learning to uncover trends and root causes.
• Translate complex data into clear, strategic recommendations for product enhancements.
• Build and maintain intuitive dashboards to track product and feature performance in real time.
• Visualize data effectively to highlight trends, anomalies, and opportunities, enabling data-driven decisions across teams.

Qualifications What Essential Skills You Will Need

• We are looking for someone with at least 3-6 years of experience in the product analytics space.
• You are proficient in SQL, Python, and R for handling large datasets.
• You have advanced knowledge in statistical methodologies and machine learning to uncover insights. You can also apply these techniques to large datasets.
• You have experience designing and implementing A/B tests and other experiment frameworks. You can analyse results to derive actionable insights.
• You have experience creating dashboards using tools like PowerBI for informed decision-making.

Additional Information 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 enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Software Development
• Industries: Software Development

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