Top Data Jobs in Singapore

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

The Data Engineer will optimize data pipelines, collaborate on cloud infrastructure, and implement solutions for real-time data processing.

Develop and implement Data Warehouse solutions for Risk Control, focusing on architecture, real-time applications, and report data management.

Develop and maintain internal Data Platform components, ensuring system scalability, high availability, and integration with data warehouses and orchestration systems. Write maintainable code and support deployment and monitoring processes.

Lead the planning and governance of data platforms, translating business strategies into data product solutions, collaborating cross-functionally, and driving data literacy across the organization.

As a Senior Data Business Partner, you will connect business strategy with data execution, managing metrics and ensuring data integrity to support decision-making and growth.

The Data & AI Scientist will analyze datasets, create AI products, develop analytics solutions, and collaborate with teams to optimize operations.

Lead development of advanced digital twin models and AI-driven solutions for semiconductor fab operations, enhancing performance and decision-making.

As a Senior Networking Technology Sales Specialist, you will pursue leads, generate pipeline opportunities, and engage with clients to tailor solutions while leveraging a team-selling approach.

This internship involves analyzing data to provide insights, supporting digital marketing efforts, and presenting findings to internal stakeholders.

Drive revenue and exceed targets through business development, strategizing, client engagement, presentations, and managing contracts while collaborating with cross-functional teams.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

As a Data Scientist at Kyndryl, you will analyze data, develop predictive models, and integrate machine learning features into production systems, focusing on privacy-enhancing technologies.

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

The Data Architect will lead design and implementation of a Data Warehouse, ensuring data governance, security, and analytics capabilities while collaborating in a multinational agile team.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

The Data Analytics Lead will develop data platforms, maintain ETL processes, analyze data for insights, and collaborate with stakeholders to drive business decisions.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

Design and maintain Data Marts using dimensional modeling, build data pipelines, ensure data integrity and support business analytics needs.

The Senior Associate Software Development Engineer creates, designs, and tests software systems and applications, primarily in a micro-services environment, collaborating with cross-functional teams.

As an Associate Data Scientist at Razer, you'll design AI-driven solutions for games, focusing on reinforcement learning and generative AI, collaborating with engineers and developers to enhance gaming experiences.

The Data Analyst supports Compliance Asia by analyzing client activity data to ensure compliance with AML, KYC, and regulatory requirements. Responsibilities include data collection, analysis, report preparation, and collaboration with compliance and IT teams.

The role involves managing end-to-end business requirements, optimizing data pipelines, and leveraging big data technologies for product and service improvement.

Lead the Growth and Insights Department, performing advanced data analysis, translating insights into business strategies, and mentoring a high-performing team.