Data Scientist (Product Analytics)

📋 Description

• Transform requirements into concise data requirements, identify trends, spot anomalies, build
• Develop data pipelines and custom data science models to solve identified problems.
• Create data-driven hypotheses and collaborate with product and engineering teams to design
• Design data specifications for new products, ensuring accurate data collection.
• Launch A/B and timeslice experiments, analyse results, and provide relevant recommendations.
• Conduct targeted analysis for specific products and operations, to find new business/product

🎯 Requirements

• 2 or more years in data-related or quantitative fields
• Fluent in SQL, Python, R, or other scripting/programming languages; comfort with very large
• Hands-on experience running and analysing controlled experiments, turning data into relevant
• Ability to narrow down multiple options into the best approach, take ownership of open-ended
• Skills in designing experiments, data visualisation and storytelling; create intuitive and
• Ability to guide teams to advise senior partners

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance
• GrabFlex benefits package
• Parental and Birthday leave
• Love-all-Serve-all (LASA) volunteering leave
• Confidential Grabber Assistance Programme
• FlexWork arrangements such as differentiated hours