Top Data Science Jobs in Singapore

The Data Scientist will support the Lead Data Scientist by developing scalable data products, conducting exploratory data analysis, and deploying machine learning models. Responsibilities include creating data pipelines, validating model performance, and communicating insights to stakeholders to drive value from analytics solutions.

The Senior Data Scientist will leverage analytics to drive product decisions and experiments, collaborating with cross-functional teams to analyze data, launch A/B tests, and develop predictive models. Responsibilities include analyzing trends, developing data pipelines, and ensuring high data integrity while influencing product strategy based on insights.

The Senior Data Scientist will lead research efforts in analyzing crypto market data, focusing on data sourcing, accessibility, and usability, while applying statistical and machine learning techniques to derive insights and improve trading strategies. The role emphasizes staying current with industry advancements and benchmarking model performance.

The Data Scientist will support the Lead Data Scientist in developing and deploying analytics solutions and machine learning models. Responsibilities include translating business needs, collaborating on data pipeline creation, conducting exploratory data analysis, building scalable data products, and monitoring model performance. The role involves communication with stakeholders and promoting analytics awareness within the organization.

As a Data Scientist, you will conduct applied research in data science and ML to improve patient outcomes. Responsibilities include developing algorithms, analyzing big data, implementing code best practices, and ensuring compliance with regulatory standards. You will communicate findings and insights effectively to stakeholders.

The Senior Data Scientist at Grab will develop production-grade models for managing millions of daily requests, conduct experiments, analyze large data volumes, and improve existing dispatch features while translating business needs into technical solutions.

Lead and manage data science projects, collaborating with stakeholders to identify AI and machine learning opportunities. Design and implement strategies, conduct experiments, and communicate insights clearly, while promoting data literacy and adhering to ethical guidelines.

As a Data Engineer, you will collaborate with teams to drive data modelling and contribute to data application projects, providing essential data insights for decision-making.