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Senior Data Scientist (Search and Recommendations)
Grab
Singapore, UAE
Full Time
Senior
Onsite
1 months ago
PythonScalaDeep LearningMachine LearningPyTorchTensorFlow
Free
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PythonScalaDeep Learning
About the Role
Grab is looking for a Senior Data Scientist to design and build machine learning systems for search ranking and personalized recommendations. The role involves deep learning model development, LLM integration, and production deployment.
Key Skills for This Role
PythonScalaDeep LearningMachine LearningPyTorchTensorFlow
Responsibilities
- Design and implement deep learning algorithms for search ranking, session based recommendations, and multi objective personalization systems
- Fine tune and deploy Large Language Models (LLMs) to improve search query understanding and recommendation relevance
- Lead offline evaluation design and online A/B testing to validate model performance
- Partner with software engineers to scale models from prototype to production, including model serving optimization and latency requirements
- Translate data insights into concrete product features by collaborating with product managers and business operations teams
- Monitor model performance in production and implement retraining pipelines to maintain prediction quality
Requirements
- Master's in Computer Science, Operations Research, Statistics, or equivalent quantitative field, or equivalent practical experience
- At least 3 years of experience building and deploying deep learning models for search, recommendation systems, or NLP applications in production environments
- Hands on experience with Python and Scala to build data pipelines and model serving systems
- Proficiency in at least one deep learning framework (PyTorch, TensorFlow, or JAX)
- Experience with LLM fine tuning and deployment using frameworks such as Hugging Face Transformers
- Demonstrated experience with A/B testing frameworks and statistical evaluation methods
- Experience deploying models to production using ML serving infrastructure (TensorFlow Serving, TorchServe, or cloud based ML platforms)
Full Job Posting
Get to Know the Team
- You will join our Search and Recommendations team — a group of machine learning engineers and data scientists who build algorithms that help millions of users discover food, groceries, and services across Southeast Asia.
Get to Know the Role
- You will report into the Senior Data Science Manager, and work onsite at Grab One North Singapore office.
- You will design and build machine learning systems that power search ranking and personalized recommendations at scale.
The Critical Tasks You will Perform
- Design and implement deep learning algorithms for search ranking, session based recommendations, and multi objective personalization systems.
- Fine tune and deploy Large Language Models (LLMs) to improve search query understanding and recommendation relevance.
- Lead offline evaluation design and online A/B testing to validate model performance.
- Partner with software engineers to scale your models from prototype to production.
- Translate data insights into concrete product features by collaborating with product managers and business operations teams.
- Monitor model performance in production and implement retraining pipelines.
What Essential Skills You will Need
- Master's in Computer Science, Operations Research, Statistics, or equivalent quantitative field, or equivalent practical experience.
- At least 3 years of experience building and deploying deep learning models for search, recommendation systems, or NLP applications in production environments.
- Hands on experience with Python and Scala to build data pipelines and model serving systems.
- Proficiency in at least one deep learning framework (PyTorch, TensorFlow, or JAX).
- Experience with LLM fine tuning and deployment using frameworks such as Hugging Face Transformers.
- Demonstrated experience with A/B testing frameworks and statistical evaluation methods.
- Experience deploying models to production using ML serving infrastructure and optimising for latency constraints.
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