Data Scientist (Product Analytics)

📋 Description

• Partner with cross-functional teams to identify data requirements and design innovative analytical
• Conduct in-depth analyses of operational data, including business/impact analysis and text
• Develop dashboards to monitor the performance of Grab Support operations, support specialists, and
• Utilize advanced statistical and machine learning techniques, such as quasi-experimental methods
• Stay up-to-date with industry trends, emerging technologies, and best practices in analytics and
• Collaborate with data engineering teams to ensure data quality, integrity, and accessibility, while

🎯 Requirements

• A minimum of Bachelor's degree in Analytics, Statistics, or Engineering or any related field.
• At least 2+ years of experience in Analytics, Business Intelligence, or Data Science roles
• Proficiency in Big Data technologies such as Spark, PySpark, and Databricks.
• Strong foundation in data query/manipulation using SQL and data visualization tools like Power BI.
• Experience in Snowflake and multidimensional modeling.

🎁 Benefits

• Term Life Insurance and comprehensive Medical Insurance.
• GrabFlex: create 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 to guide and uplift you and your loved ones through
• FlexWork arrangements such as differentiated hours.