Description
Grab is Southeast Asia's leading superapp, providing various services such as food delivery, financial management, and transportation.
The Consumer Experience team aims to provide a great user experience across the app. The data science team works on problems ranging from ranking and recommendations to agentic LLM chatbots and content generation.
You will focus on enhancing a communications targeting system by developing relevance ranking, translation models, and agentic marketing content generation projects.
The Critical Tasks You Will Perform:
- Enhance communication targeting systems by developing relevance ranking algorithms, translation models, and agentic marketing content generators.
- Analyse quantitative and qualitative data to develop a deep behavioural understanding of our users and inform personalization strategies.
- Collaborate with product, marketing, and engineering teams to manage the end-to-end lifecycle of designing, implementing, and deploying ML and LLM models.
- Build and test robust models, develop data pipelines, and establish observability and evaluation frameworks for systems in production.
- Leverage Generative AI (GenAI) and AI coding assistants to accelerate model development, automate data wrangling, and streamline your evaluation workflows.
QUALIFICATIONS:
- At least 4 years of experience in data science or machine learning, supported by a Master's degree in Computer Science, Engineering, Mathematics/Statistics, or a related technical discipline.
- Proficiency in programming languages such as Python, R, or Java, along with experience in data pipeline development and ETL processes.
- Experience with predictive modelling algorithms (e.g., logistic regression, neural networks, decision trees, heuristic models) and their trade-offs in production.
- Hands-on experience with ML/DL frameworks and libraries, including Scikit-Learn, Pandas, XGBoost, TensorFlow, or PyTorch.
- Practical experience managing the end-to-end ML lifecycle, including feature selection, hyper-parameter optimization, and model validation.
- Experience engaging with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute new ideas.
Life at Grab:
- Term Life Insurance and comprehensive Medical Insurance.
- GrabFlex, 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.