Senior 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

• 4 or more years in data-related or quantitative fields
• Fluent in SQL, Python, R, or other scripting/programming languages
• Comfort with very large datasets and complex Extract, Transform, and Load processes
• Hands-on experience running and analysing controlled experiments
• Ability to narrow down multiple options into the best approach and take ownership of open-ended
• Skills in designing experiments, data visualisation and storytelling

🎁 Benefits

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