Top Data Jobs in Singapore

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

As a Senior Cloud Services Architect, you will design complex cloud solutions, collaborate with clients, manage service development, and lead workshops while mentoring peers.

Develop and deploy product-disposition solutions and algorithms using data analysis and machine learning to improve quality and reliability.

Seeking a Senior Data Engineer to design and optimize ETL/ELT pipelines, ensuring data quality and compliance while collaborating with business stakeholders.

The Senior Data Engineer develops and maintains scalable data infrastructure and pipelines, ensuring data quality and accessibility for data-driven decision-making.

The Senior Data Engineer will design, develop, and maintain ETL processes, build scalable analytics systems, ensure data quality, and mentor junior engineers.

The Marketing Manager will oversee regional marketing initiatives in the APAC region, focusing on planning, execution, and vendor communication, especially in China.

As a Software Technology Sales Specialist, you will drive software sales, identify opportunities, and collaborate with client managers to optimize sales strategies and solutions.

The Enterprise Applications Consultant will drive technical excellence and innovation, solve diverse problems, and enhance relationships with stakeholders while independently achieving targets.

Design and improve user experiences for on-chain data products at CoinMarketCap, collaborating with cross-functional teams and optimizing product designs.

Responsible for the vision and roadmap of on-chain data products, analyzing user needs, and collaborating across teams to improve product offerings.

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

Responsible for leading the design and maintenance of enterprise data warehouse, collaborating with stakeholders, ensuring data quality, and optimizing data integration processes.

As a Product Manager for the Data Platform, you will collaborate with teams to define requirements, track metrics, improve data quality, and manage the product roadmap.

The Principal Data Consultant will lead the Data Quality practice, manage the Data Lakehouse's operations, and engage with stakeholders to ensure data integrity and strategic alignment.

The Revenue Operations Manager will oversee sales operations, forecasting, pipeline management, and analytics, driving continuous improvement to maximize revenue within the organization.

The Director of Worldwide Channel Partners will build and lead the global channel strategy, recruit strategic partners, and drive revenue growth across multiple regions while collaborating with internal teams.

As a Data Scientist Manager, you will develop predictive models using large datasets, analyze trends, and collaborate with stakeholders to drive business decisions.

As a Data Analyst, you'll analyze patterns, provide insights, track KPIs, and develop dashboards to improve service delivery and customer experience.

The Data Engineer will design, build, and maintain data systems and pipelines, collaborate with teams, and ensure data quality for analytics.

Monitor compliance with customer experience standards, analyze data for insights, drive corrective measures, and collaborate with teams to enhance service delivery in financial services.

As a Data Analysis Specialist, perform data mining, maintain databases, generate reports, troubleshoot Spotfire tools, and support process improvements.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.