Data Scientist (Analytics) - OmniCommerce

About Grab and the OmniCommerce Analytics Team

Grab is Southeast Asia's leading superapp, offering services from food delivery to financial management and seamless transportation. Our purpose-driven culture focuses on leveraging Technology and AI to empower the region economically with dedication and humility.

The OmniCommerce team is a tight-knit group with varied backgrounds united by a passion for creating customer-centric products online and offline. The Analytics team specifically drives innovation through data, experimentation, and insightful analysis aimed at enhancing experiences for consumers, merchants, and driver-partners.

Role Overview

As a Data Scientist (Analytics) within OmniCommerce, you will transform data into actionable decisions impacting deals, reservations, loyalty programs, and CRM offerings that encourage offline engagement with merchants. You will collaborate closely with product managers, engineers, fellow data scientists, and stakeholders to conduct experiments, generate insights, and develop dashboards that influence daily product choices. This role requires autonomy, agility, and rapid learning to become a trusted analytical advisor.

Key Responsibilities

• Collaborate with product, design, and engineering teams to extract insights, design experiments, and guide product decisions.
• Support strategic business initiatives through in-depth analytics on customer and merchant behavior, product performance, and ad hoc analysis.
• Design, execute, and interpret results of A/B tests, offering clear recommendations for product improvements.
• Define hypotheses and success metrics with product leads and senior analysts for experiments.
• Analyze user and merchant data deeply to reveal trends and root causes.
• Create and maintain intuitive dashboards to provide stakeholders with real-time performance metrics.
• Define key business metrics, monitor anomalies or opportunities proactively.
• Translate stakeholder needs into concise insights using reports, presentations, and visual tools.
• Leverage AI tools to expedite analytics workflows critically assessing their outputs against data and context.

Required Qualifications and Skills

• Minimum one year of experience in data analytics, business intelligence, or data science roles, preferably within B2C or internet companies handling large datasets.
• Proficiency in SQL for querying large relational databases and Python or R for data analysis and problem-solving.
• Solid understanding of statistics, especially in experimental design and analysis of A/B tests.
• Strong data visualization and storytelling capabilities, experienced with tools like PowerBI or Tableau.
• Excellent communication skills to convert complex data into understandable insights for non-technical stakeholders.
• Ability to quickly learn, adapt, and take ownership in a fast-moving, ambiguous environment.
• Keen analytical curiosity to detect patterns and frame problem statements with suggested solutions.

Preferred Qualifications

• Experience with machine learning applications on large datasets.
• Understanding or exposure to data pipelines and ETL processes.
• Knowledge or experience in e-commerce, OmniCommerce, retail, loyalty, or marketing analytics.

Educational Background

• Bachelor’s or Master’s degree in Statistics, Analytics, Economics, Mathematics, Engineering, or a related quantitative field.

Additional Benefits and Company Culture

• Comprehensive health and term life insurance coverage.
• Flexible benefits package through GrabFlex to tailor perks according to individual needs.
• Leave policies including parental, birthday, and volunteering leave to support personal milestones and community giving.
• Confidential assistance program to support mental and emotional well-being.
• Flexible working arrangements to balance professional and personal life demands.

Commitment to Inclusion

We are dedicated to fostering an inclusive and equitable workplace, ensuring equal opportunity for every employee regardless of background or identity. We evaluate all candidates fairly and encourage diversity as a core value.