Senior Data Scientist (Mart & E-Commerce) at Grab

Get to Know the Team In the Mart & Ecommerce Data Science team, you are at the heart of Grab's retail and grocery engine. We build and deploy AI/ML models that power seamless shopping experiences across our ecosystem. Our mission is to transform how millions shop. We achieve this by solving complex challenges in inventory intelligence, demand forecasting, and hyper-personalized discovery. Our goal is to ensure every user finds exactly what they need, right when they need it. You will report to our Senior Data Science Manager and based onsite in our office in Petaling Jaya, Selangor. Get to Know the Role We are looking for Senior Data Scientists to lead high impact technical workstreams within our shopping ecosystem. You will manage technical projects from brainstorming to production—developing scalable DS architectures, deploying services, and ensuring model robustness. You will work as a technical expert, collaborating with Engineering, Product, and Analytics to provide advanced, data-driven solutions. The Critical Tasks You Will Perform • Extract Insights: Analyze massive datasets (transactional, behavioral, and geospatial) to decode shopping patterns and improve the end-to-end journey for grocery and retail services. • Develop AI Solutions: • Next-Gen User Experience: Move beyond static interfaces to build agentic, conversational, and anticipatory experiences. You will predict shopping intent and brand preferences to power autonomous shopping assistants that can handle complex queries, automate re-ordering, and provide hyper-personalized discovery. • Service Reliability: Build predictive models to safeguard the order lifecycle by identifying high-risk orders prone to cancellation, predicting fulfillment failures due to insufficient inventory, and flagging transactions requiring proactive intervention. • Demand Forecasting: Create high precision, hyper-local spatio-temporal models using complex signals (weather, events, marketing). You will provide granular SKU-level predictions to improve supply chain readiness and minimize waste. • Demand Shaping: Implement intelligent optimization algorithms to balance demand and supply in real-time. You will improve platform visibility and use contextual nudges spatially and temporally to balance demand with merchant/driver supply • Demand Generation: Decode unique user shopping patterns to unlock new demand. You will build AI models for automated targeting and user segmentation to drive sustainable growth. • Build, Deploy and Iterate: Develop production-grade AI models. You will oversee the A/B testing lifecycle and implement real-time production monitoring to ensure long-term model health. You will adopt ML Operational Excellence practices to ensure robust versioning, automated testing, seamless deployment, performance monitoring, and continuous improvement of ML pipelines. • Collaborate cross functionally: Partner closely with PMs, Engineers, and Operations to integrate and scale solutions across the region. • Innovate: Stay at the forefront of AI/ML research, contributing to the team's internal knowledge base and IP creation.