Top Data Jobs in Singapore

The role involves analyzing datasets, developing dashboards, building data pipelines, and collaborating with teams to translate findings into business strategies.

Conduct data analysis and machine learning to improve account safety on WeChat, track fraudulent accounts, and detect anomalies.

The role involves designing and maintaining data pipelines, performing data transformations, and collaborating with various stakeholders to build scalable, data-driven products in an Agile environment.

The Manager, Data Engineer will design data integration solutions, manage data pipelines, lead initiatives, and collaborate with stakeholders in a hybrid setting.

Lead AI and advanced analytics initiatives, develop and deploy data science solutions, and mentor a team in ethical AI practices. Focus on conversational AI, innovation, and aligning business objectives with technical solutions.

The International Sector Analyst will conduct deep research to provide insights on industries, support investment decisions, and collaborate with data scientists and investment professionals.

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

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

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Data Science Internship involves modeling, AI innovation, data integration, and technical development while collaborating across teams to deliver insights and solutions in commodity trading.

The Data & Reporting Consultant will design and implement reporting architecture, develop interactive dashboards, and manage data models while engaging with stakeholders in Wholesale Banking.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The IT Engineer will manage and support database systems, ensure high availability, troubleshoot issues, and implement database solutions while collaborating with site customers and improving database performance and operations.

The Data Scientist in SMAI OI will design AI solutions for scheduling and simulation, enhance manufacturing performance, and collaborate globally for continuous improvement.

This role involves designing and developing AIML/GenAI solutions, collaborating with engineering teams, and translating business needs into AI-driven solutions.

Install and upgrade database systems, manage access and backups, diagnose errors, ensure compliance, and support database operations. Develop solutions and automate processes to enhance performance and reliability.

As a Product Engineer in Advanced Data Analytics, you will utilize machine learning and AI for data analysis to enhance yield and quality. Responsibilities include developing algorithms, collaborating with cross-functional teams, promoting innovation, and driving initiatives to improve performance metrics.

The Account Executive will manage sales and relationships with Genetec customers, focusing on increasing revenue in assigned territory, provides support to sales managers, and ensures communication with corporate office.

The Client Project Manager leads client projects from concept to implementation, ensuring satisfaction, managing escalations, and coordinating teams, while promoting project services and managing change.

The Senior Data Platform Architect will design and implement data solutions on Azure, focusing on Databricks and IaC, while leading teams and ensuring best practices.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

Lead alliances engineering activities, assist with technical presentations, work with R&D to define product requirements, and develop sales strategies for storage solutions.

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

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

As a Principal Transformation Consultant, you'll advise clients, lead workshops, and drive business transformation using deep industry knowledge and innovative solutions.