Description
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:
- 8-12 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:
- Term Life Insurance and comprehensive Medical Insurance.
- GrabFlex, 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.