Data Scientist - Analytics for Product Growth

GRABTAXI HOLDINGS PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Grab is seeking a Data Scientist (Analytics) to join the OmniCommerce Analytics team. You will turn data into decisions across deals, reservations, loyalty, and CRM, partnering with product managers, data scientists, engineers, and stakeholders to run experiments and build dashboards that guide day-to-day product choices.

This high-ownership, high-learning role requires moving fast, closing knowledge gaps, and growing into an independent analytics partner for the team in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s in a quantitative field.
• 1–3 years in analytics, BI or data science in an internet company.
• Solid SQL writing and experience querying large relational databases.
• Experience with A/B testing and statistical hypothesis testing.
• Strong data visualization and storytelling for non-technical audiences.

Responsibilities

• Run A/B tests and analyse results, translating them into recommendations.
• Partner with product, design, and engineering to derive insights for decisions.
• Build and maintain dashboards for real-time visibility into product metrics.
• Surface insights on deals, reservations, loyalty, and CRM initiatives.
• Define and track KPIs, flag anomalies or opportunities, and report findings.

Skills

SQL

Python

R

Statistics

A/B testing

Data visualization

Communication

Fast learner

Problem solving

Education

Bachelor’s or Master’s in Statistics/Analytics/Economics/Mathematics/Engineering

Tools

PowerBI

Tableau

Python

R

ETL tools

Job description

Grab is seeking a Data Scientist (Analytics) to join the OmniCommerce Analytics team. You will turn data into decisions across deals, reservations, loyalty, and CRM, partnering with product managers, data scientists, engineers, and stakeholders to run experiments and build dashboards that guide day-to-day product choices.

This high-ownership, high-learning role requires moving fast, closing knowledge gaps, and growing into an independent analytics partner for the team in a fast-paced environment.