People Research Scientist, People Analytics

Grab is Southeast Asia's leading superapp, providing various services such as food delivery, financial management, and transportation.

As a People Research Scientist, People Analytics, you will apply strategic consulting, applied research, and structured problem-solving to complex people and organisational challenges.

Critical Tasks:

• Build an organisational listening and action engine using employee listening, workforce, behavioural, and operational data to identify signals, diagnose root causes, and guide action.
• Build user-centric AI systems and agents that automate People Science workflows, from data discovery and analysis to hypothesis testing, programme evaluation, insight generation, and recommendations.
• Conduct applied organisational research using qualitative and quantitative methods, including surveys, interviews, experiments, and mixed-method approaches.
• Design hypotheses and evaluate People programmes or interventions using appropriate research, experimental, or quasi-experimental methods.
• Act as a strategic advisor to People and business leaders by framing ambiguous problems, conducting analysis, evaluating options, and translating evidence into practical decisions.
• Democratise people data through accessible AI agents, self-service tools, and data products that help non-technical users make better decisions.

Qualifications:

• 5-12 years of experience in strategic consulting, applied research, organisational research, decision science, analytics, or a related field, with hands-on end-to-end problem solving.
• Experience advising senior stakeholders by defining ambiguous problems, diagnosing root causes, evaluating options, and translating evidence into practical decisions.
• Strong applied research capability across qualitative and quantitative methods, including research design, hypothesis development, surveys, interviews, experiments, and mixed-method approaches.
• Practical knowledge of programme evaluation, experimental design, causal or quasi-experimental analysis, and the ability to interpret evidence and its limitations.
• Experience synthesising data, research findings, and user perspectives into clear recommendations.
• Working proficiency in at least one analytical language, such as SQL, Python, or R, with the ability to conduct and interpret analysis.
• Experience engaging with AI tools and emerging technologies to improve research, analysis, workflows, and decision support, with an understanding of responsible AI, privacy, and bias considerations.

Life at Grab: We care about your well-being at Grab, here are some of the global benefits we offer:

• Term Life Insurance and comprehensive Medical Insurance.
• GrabFlex, creating a benefits package that suits your needs and aspirations.
• Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave.
• Confidential Grabber Assistance Programme.
• FlexWork arrangements such as differentiated hours.