Description
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 the GrabMart 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.
We are looking for Senior Machine Learning Engineers 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.
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: Build agentic, conversational, and anticipatory experiences. Predict shopping intent and brand preferences to power autonomous shopping assistants.
- Service Reliability: Build predictive models to safeguard the order lifecycle by identifying high-risk orders prone to cancellation.
- Demand Forecasting: Create high precision, hyper-local spatio-temporal models using complex signals (weather, events, marketing).
- Demand Shaping: Implement intelligent optimization algorithms to balance demand and supply in real-time.
- Demand Generation: Decode unique user shopping patterns to unlock new demand.
- Build, Deploy and Iterate: Develop production-grade AI models. Oversee the A/B testing lifecycle and implement real-time production monitoring.
- Innovate: Stay at the forefront of AI/ML research, contributing to the team's internal knowledge base and IP creation.
- Collaborate cross functionally: Partner with Project Managers, Engineers, and Operations to integrate and scale solutions across the region.
QUALIFICATIONS:
- Education: Master's degree in Machine Learning, Statistics, Computer Science, Economics, Operations Research, or a related quantitative field.
- Experience: 5+ years of experience as a Data Scientist, with a proven track record in E-commerce, Quick-Commerce, or Marketplace domains.
- Technical Depth: Deep understanding of ML/DL, data mining, and optimization algorithms. Proficiency in frameworks like TensorFlow or PyTorch.
- Programming: Proficient in Python or Scala.
- Soft Skills: Motivated, independent learner, communicate and articulate well on complex insights to non-technical stakeholders.
- Versatile: Work well in a startup environment and manage multiple high-priority workstreams.
- Engineering Excellence: Experience with CI/CD principles for ML (MLOps).
Life at Grab:
- Term Life Insurance and comprehensive Medical Insurance.
- GrabFlex: create a benefits package that suits your needs and aspirations.
- Parental and Birthday leave, and Love-all-Serve-all (LASA) volunteering leave.
- Confidential Grabber Assistance Programme.
- FlexWork arrangements.