Data Scientist (Product Analytics)

📋 Description

• Transform requirements into concise data requirements, identify trends, spot anomalies, and create
• Develop data pipelines and custom data science models to solve identified problems
• Design and analyze A/B tests and timeslice experiments, and provide recommendations
• Collaborate with product and engineering teams to design experiments that inform product decisions
• Design data specifications for new products to ensure accurate data collection
• Conduct targeted analysis for specific products and operations to find new opportunities and

🎯 Requirements

• 2+ years of experience in data-related or quantitative fields
• Proficiency in SQL, Python, R, or other scripting/programming languages
• Experience with very large datasets and complex ETL processes
• Statistical knowledge and hands-on experience running and analyzing controlled experiments
• Ability to approach open-ended problems and propose novel solutions
• Skills in experiment design, data visualization, and storytelling (PowerBI or Tableau)

🎁 Benefits

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