Senior Data Scientist (Analytics)

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Get to Know the Team

Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people. We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.

Grab Geo team is an established team with strong start-up spirit, responsible for mapping, routing, navigation, POI (point-of-interest), travel time estimation and tech inventions on IoT etc. The Analytics team is one of the functions in Geo, whose mission is to advance product innovation with data analytics and experimentation best practices. If you are keen to solve complex problems such as how to improve the accuracy of time estimation, how to provide the most optimal route to travel, what is the best way to navigate, or participating in making a good map to serve South East Asia, here is your playground!

Get to know the role 

You will harness AI and large-scale geospatial data to solve complex mapping problems and provide the critical insights that power Grab’s superapp. Working at the intersection of Product, Engineering, Design and Operations, you will identify patterns in millions of GPS pings and sensor signals to build the most accurate map of Southeast Asia. We are looking for an innovative analyst to help evolve Grab’s "Geo-Moat" by turning raw telemetry into world-class mapping intelligence.

This role is based in Singapore and onsite.

The Critical Tasks You Will Perform

• AI-Powered Insights: Use agentic solutions to generate data-driven hypotheses that solve geospatial problems like routing, "first-mile/last-mile," and POI (Point of Interest) accuracy challenges.
• Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deep dive into existing data to recommend new product ideas to solve for the most impactful customer problems
• Design and own data specs for mapping features, while collaborating with engineering teams to ensure accurate and timely data collection, ensuring scalable data collection that bridges the gap between raw signals and executive decision-making.
• Define and rigorously track high-impact metrics to provide actionable recommendations for continuous map improvement. Proactively use data to identify trends, spot anomalies and deep dive into their root causes
• Build and maintain AI-powered tools that allow regional business teams to self-serve geospatial insights, accelerating Grab’s ability to respond to local market changes.
• Provide mentorship to junior team members

What Essential Skills You Will Need

• At least 4 years of experience in data analytics. Experience in IoT, map-making and working with Geospatial datasets will be preferred.
• AI native mindset, enjoy using AI to support your day to day work. Experience with building AI tools is a plus
• Fluent in SQL, Python, R, or other scripting/programming languages, and comfortable with very large datasets and complex ETL processes.
• Exposure to GIS tools and utilities (e.g., QGIS, Kepler, PostGIS) to manipulate, analyze, and visualize spatial data to improve maps and inform product insights will be a plus. 
• Statistical knowledge is a must. You have hands-on experience in running and analyzing controlled experiments, turning data into actionable insights.
• Data visualization and storytelling skills. Ability to build the right visualizations to communicate complex analyses to a variety of audiences, including senior leaders.
• Own the design and execution of innovative data frameworks for ambiguous problems, empowering stakeholders with the insights required to steer product strategy

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.