Senior Data Scientist

• Conceptualise and develop machine learning models to aid the Grab Support business vertical by automating key processes in the support journey like automated responses customised to each user-problem.
• Drive product improvements and roll-out of new features
• Drive the development and iteration of algorithms

• Deep dive into Support tickets data to draw useful insights
• Design and build NLP algorithms efficiently
• Integrate, simulate and test impact of algorithms and features on the overall system
• Develop and execute necessary analyses or A/B tests to validate models and identify improvement opportunities
• Store, retrieve and visualise results in a manner that facilitates required analyses
• Effectively conceptualise analyses to business/product stakeholders

• Minimum 2 years of relevant experience in developing NLP algorithms
• Ph.D. or Master's in Computer Science, Electrical/Computer Engineering, or related technical disciplines
• Strong fundamentals in Machine Learning, NLP algorithms and Mathematics
• Familiar with mainstream deep learning programming framework (e.g. TensorFlow)
• Familiar with basic deep learning algorithms (e.g. CNN/RNN/LSTM) and advanced algorithms (e.g. BERT/ seq2seq models)
• Familiar with recent developments in NLP domain for example LLMs
• Proficient in statistical programming in languages such as Python; and strong working knowledge in RDBMS such as PostgresQL or MySQL
• Excellent software development capabilities, preferably in Python/Scala/C++ with good programming style and work habits; knowledge of GoLang would be an advantage
• Self-motivated and independent learner who is willing to share knowledge with the team
• Efficient and detail oriented; good time management in a dynamic and fast-paced working environment

• Experience in working with customer support use cases
• Experience in building NLP models for multiple South East Asian languages
• Experience in building performance efficient models

Grab