Top Data Jobs in Singapore

As a Senior Data Scientist at Airwallex, you will optimize Payments performance, design experiments, analyze metrics, and collaborate with various teams to enhance the Payments product.

The Staff Data Scientist will lead the Growth Analytics team, partnering with various departments to define growth strategies and mentor junior data scientists. Responsibilities include applying data science techniques to drive product-led growth initiatives and establishing measurement frameworks for data-driven decision-making.

This role involves building a centralized risk platform with advanced analytics and machine learning, conducting risk analysis, and optimizing risk strategies while collaborating with internal and external stakeholders.

Lead the Growth Analytics team to drive data-driven decision-making and implement strategies that accelerate growth. Collaborate across multiple teams, apply data science techniques, and manage a team of data scientists to influence key business decisions.

Lead the data science team by providing mentorship, influence strategy through data analysis, and help shape product strategies based on data insights.

The Data Production Engineer will automate data tasks, support trading teams, analyze data sets, and ensure data pipeline quality and reliability.

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.

The Senior Business Analyst will act as the liaison between stakeholders and the technical team, gather and analyze requirements, and support a data platform project in the CPG sector.

The Senior Technical AML Data Analyst analyzes AML data, ensures regulatory compliance, manages large-scale data environments, and collaborates cross-functionally to enhance data processes.

As a Senior Data ETL Engineer, you'll develop data pipelines, support AI/ML initiatives, ensure data quality, and optimize performance.

The Senior Data Analyst will analyze trading products to drive business growth, develop data tools, and lead analysis projects independently.

The role involves providing data analytics support, developing dashboards and reports, collaborating on process improvements, and analyzing large datasets for business insights.

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

The role involves delivering data science and machine learning services, developing data-driven solutions, training customers, and enhancing ML applications using H2O's tools.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The Senior Data Analyst will develop SQL models, create dashboards, mentor junior analysts, and engage stakeholders to drive data-driven decisions.

As a Business Development Manager, you will drive growth through strategy, client relationship building, and market analysis. You'll leverage insights to tailor solutions for clients in the financial services sector.

Assist in data collection, validation, preparation, and analysis, while collaborating with teams for reporting and improving processes.

As a Data Analyst Intern, you will process and verify data integrity, provide analytics insights, design tools and dashboards, and assist with data queries using SQL.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

As a Staff Data Analyst at Stripe, you'll partner with teams to build data products, analyze large datasets, and deliver business insights through metrics and dashboards.

The Data Engineer will manage patent data operations, design data processing solutions, monitor data quality, and optimize frameworks.

The Junior Data Engineer will write and optimize SQL queries, work with Apache Spark, and develop Hive tables for data pipelines, ensuring data quality and performance.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.