Senior Product Analytics Scientist

PT Solusi Transportasi Indonesia; Jakarta Pusat; On-site; IDR 300,000,000 - 600,000,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

Grab is seeking a Senior Data Scientist (Analytics) to partner with product, design, and tech teams to turn business questions into testable hypotheses and impactful insights. You will design experiments, analyze user behaviours, and shape product direction based on evidence, while enabling data-driven decision making across Lending and Payments.

You will build dashboards, collaborate with engineering to ensure data quality, and communicate complex findings to senior stakeholders, influencing

Qualifications

• Bachelor's degree in Analytics, Statistics, or Engineering or related field.
• 2+ years of experience in Analytics, BI, or Data Science roles in large data environments.
• Proficiency in Spark, PySpark, and Databricks.
• Strong SQL and Power BI skills.
• Experience with Snowflake and multidimensional modeling.

Responsibilities

• Partner with cross-functional teams to identify data requirements and design analytical solutions.
• Conduct in-depth analyses of operational data and text data to identify improvements.
• Develop dashboards to monitor Grab Support operations and related metrics.
• Apply statistical and ML techniques, including NLP/LLM, to derive actionable insights.
• Collaborate with data engineering to ensure data quality and build analytics pipelines.
• Present findings to senior management through concise reports and visuals.

Education

Bachelor's degree in Analytics, Statistics, or Engineering or related field

Tools

Spark

PySpark

Databricks

SQL

Power BI

Snowflake

Multidimensional modeling

Job description

Grab is seeking a Senior Data Scientist (Analytics) to partner with product, design, and tech teams to turn business questions into testable hypotheses and impactful insights. You will design experiments, analyze user behaviours, and shape product direction based on evidence, while enabling data-driven decision making across Lending and Payments.

You will build dashboards, collaborate with engineering to ensure data quality, and communicate complex findings to senior stakeholders, influencing