Senior Data Scientist (Analytics), Supply Chain

Get to Know the Team

The Deliveries Analytics team is the analytics and data powerhouse behind Grabs marketplace and on-demand grocery delivery ecosystem. The Supply Chain function focuses on powering one of the most complex parts of the business - instant grocery and retail delivery through 3P and 1P partners. It operates at intersection of inventory demand forecasting fulfillment operations and last-mile logistics. Unlike traditional marketplaces we manage highly dynamic catalogs perishable inventory and real-time fulfillment constraints across dark stores and merchant partners. Our mission is to ensure that what customers want is available picked and deliveredfast reliably and cost-effectively.

Get to Know the Role

Reporting to the Senior Analytics Manager you will work with Product Operations and Business teams to optimize the inventory-led supply chain from assortment and availability to fulfillment and delivery. Your work will directly shape how we scale our operations and deliver a seamless grocery experience to millions of users through AI and active experiments.

Your role involves in:

• Reducing stockouts and substitutions
• Improving catalog quality and assortment efficiency
• Optimizing dark store and merchant fulfillment performance
• Balancing freshness waste and availability for perishable goods

This role is base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Analyze and optimize inventory availability and assortment performance including in-stock rates substitution rates and catalog health across dark stores and merchant partners
• Solve main supply chain challenges such as stockouts overstocking perishability and demand-supply mismatch
• Develop and monitor core supply chain metrics (eg: in-stock rate fill rate substitution rate waste/shrinkage order fulfillment time)
• Partner with Product and Operations teams to design experiments (including A/B testing) to improve availability fulfillment quality and customer experience
• Build data models and tools to support demand forecasting inventory planning and replenishment strategies
• Optimize picker and packing efficiency batching logic and fulfillment workflows within dark stores and merchant operations
• Define data requirements and instrumentation for new supply chain features ensuring accurate and scalable data capture
• Champion AI-first analytics workflows using automation and new tools to improve forecasting anomaly detection and operational decision-making.
• Build dashboards and data products that allow real-time visibility into supply chain performance for operations and business teams

Qualifications :

What Essential Skills You Will Need

• At least 4 years of experience in data-related or quantitative roles (analytics data science strategy or similar fields)
• Proficiency in SQL and experience with Python
• Solid statistical foundations including hands-on experience designing and analyzing controlled experiments (A/B testing) and translating results into actionable business insights
• Data visualization and storytelling skills with experience building dashboards using tools such as Superset
• An AI-first mindset: curiosity and willingness to experiment with new tools automation and AI-powered workflows to enhance analytics and decision-making.
• A builder mentality: you believe the role of an analyst is evolving and are excited to create new tools frameworks and scalable analytics solutions not just reports.
• Prior experience in eCommerce or marketplace businesses especially in environments with complex supply-demand dynamics.

Additional Information :

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 lifes challenges.
• Balancing personal commitments and lifes 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.

Remote Work :

No

Employment Type :

Full-time