Join Our Dynamic Team as a Senior Data Scientist (Analytics) at Grab

Company Description

At Grab, we strive to empower the people of Southeast Asia by adhering to our core values encapsulated in The Grab Way: Heart, Hunger, Honour, and Humility. Our culture fosters a dedication to creating economic opportunities for all, driven by insightful and principled decision-making.

About Our Team

The OmniCommerce team at Grab is a synergistic group of professionals from diverse backgrounds, united by a shared goal to develop top-tier products that bridge the gap between online and offline engagement. Fueled by a passion for user-centric design and data-driven decisions, our Analytics team plays a pivotal role in propelling product and business innovation through meticulous data analysis and experimentation.

The Role

We're seeking a Senior Data Scientist (Analytics) to harness powerful insights that will propel our OmniCommerce initiatives. Collaborate closely with cross-functional teams across Grab, including Product, Engineering, Business, Operations, and Marketing, to spearhead breakthrough enhancements with a data-first approach. As a crucial member of the Analytics team, your strategic mindset and analytical prowess will significantly influence the direction and success of our regional projects.

Key Responsibilities

• Product Analytics: Collaborate with product, engineering, and design teams to generate insights, design experiments, and influence pivotal product decisions.
• Strategic & Business Analytics: Use analytic tools to support strategic initiatives and deep dives into customer behavior, product impact, and more.

You Will:

• Work alongside stakeholders to define business needs and desired outcomes.
• Offer tailored analytics for specific products and operational strategies, continuously refining business metrics and advancing recommendations for ongoing improvement.
• Design and execute experimentation frameworks, analyzing the results to guide future innovations.
• Construct and maintain data pipelines and custom data models, addressing business challenges through robust data science solutions.
• Utilize A/B testing to validate hypotheses and refine initiatives based on analytical insights.

Requirements

Must-Haves:

• Over 5 years of experience in data-related or quantitative analysis, preferably in B2C contexts like OmniCommerce, ECommerce, Retail Marketing, Banking, or Loyalty Programs.
• Advanced proficiency in SQL, Python, R, or similar scripting languages.
• Strong capability in data visualization and crafting insightful stories through tools like PowerBI or Tableau.
• Experience in handling large datasets and complex ETL processes.
• Solid foundational knowledge in statistics, capable of designing and interpreting controlled experiments.
• Excellent problem-solving skills, with the ability to identify trends, hypothesize effectively, and propose viable solutions.

As a potential Grabber, you'll be instrumental in driving forward our analytics capabilities, impacting key business decisions and product strategies at Grab.

Join Us

At Grab, your contributions are not only valued—they're essential. We are committed to inclusivity and fostering an environment where all Grabbers can thrive. Shape the future of OmniCommerce with us, driving innovative solutions that impact millions across Southeast Asia.

Apply now to take your career to the next level with Grab, leveraging your skills in a role where data is at the forefront of all decisions.