Top Data Jobs in Singapore

As a Data Solutions Operations Associate, you will analyze data to support the development of metrics dashboards, validate hypotheses, and improve operational efficiency through data-driven insights.

Design and implement data models, manage ETL processes, and ensure data governance while collaborating across teams. Strong data modeling and ETL skills required.

The Staff Data Scientist will partner with executives, leveraging AI and causal inference methods to drive forecasting and data product development for Airwallex’s growth.

As an Instrument Data Analyst, you'll manage data quality, corporate actions, provide expertise, ensure robust controls, and drive operational improvements.

Lead data science initiatives, partnering with executives while utilizing AI and causal inference methods to drive business decisions and improve efficiency.

As a Data Scientist II at Coinbase, you'll analyze products, guide experiments, and enhance data infrastructure, contributing to strategic decision-making.

Analyze marketing performance data, develop insights and forecasts, and collaborate with teams to optimize marketing strategies and campaigns.

The Staff Data Scientist will develop credit risk models, implement monitoring systems, mentor junior analysts, and collaborate on risk analytics within Airwallex's risk product domain.

Manage risk portfolio and apply statistical/machine learning models to optimize risk exposure and forecasting within financial markets.

The Senior Data Scientist will optimize payment performance through experiments, drive product strategy, and collaborate with cross-functional teams.

Design and implement experiments to improve payment success rates. Develop optimization algorithms and predictive models, collaborating with cross-functional teams to drive strategy.

The Senior Data Scientist will analyze data to improve products, collaborate with cross-functional teams, and influence product strategy through insights.

Lead the data science team in solving complex problems, mentor members, influence strategies, and develop product strategies through data analysis.

Lead data initiatives by partnering with executives, applying statistical methods to forecast business impacts, and mentoring junior team members.

Design and architect data storage solutions using AWS and Databricks, create and optimize data pipelines, and integrate data from various sources while ensuring data quality and consistency.

Assist in designing and maintaining data pipelines, collaborating with developers for seamless data flow, and ensuring data quality and security.

The Senior Data Engineer will design and maintain data pipelines, collaborate with stakeholders, ensure data integrity, manage cloud infrastructure, and mentor juniors.

This internship offers hands-on experience in data analysis, visualization, and collaboration with teams to support business insights using SQL and relevant tools.

As a Senior Data Analyst (Marketing), you'll analyze large datasets, provide insights, mentor junior analysts, and collaborate with stakeholders to guide data-driven decisions.

As a Data Analyst, you'll prepare and analyze data, create dashboards, generate reports, monitor data quality, and collaborate with stakeholders.

The intern will analyze data to identify trends, create visualizations, support A/B testing, and enhance customer experiences through insights derived from user behavior and market trends.

Lead development and deployment of advanced AI models for complex data challenges, enhancing financial solutions with cutting-edge deep learning.

Responsible for designing and overseeing enterprise data platforms, defining architecture vision, setting technical standards, mentoring data architects, and guiding architectural decisions.

The Research Editor will create and update compliance profiles, conduct research, respond to client inquiries, and support projects, with a focus on anti-money laundering regulations.

Lead the development of chatbot technologies at Grab, analyzing data, designing machine learning models, and improving conversational AI capabilities.