Senior Data Scientist

1 week ago

Singapur, Singapore Grab Full time

Get AI-powered advice on this job and more exclusive features. 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 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. Role Overview 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. 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 At least 3–6 years of experience in the product analytics space. Proficiency in SQL, Python, and R for handling large datasets. Advanced knowledge in statistical methodologies and machine learning to uncover insights; ability to apply these techniques to large datasets. Experience designing and implementing A/B tests and other experiment frameworks; can analyze results to derive actionable insights. Experience creating dashboards using tools like PowerBI for informed decision‑making. Benefits Term Life Insurance and comprehensive Medical Insurance. GrabFlex benefits package to suit your needs and aspirations. Parental and Birthday leave; and volunteering leave under Love‑all‑Serve‑all (LASA). Grabber Assistance Programme for personal challenges. FlexWork arrangements such as differentiated hours. Inclusion and Equity 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. #J-18808-Ljbffr

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