Top Data Jobs in Singapore

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

Manage and track real estate transactions and due diligence for data center site acquisitions across APAC. Build systems for reporting and stakeholder alignment.

The Scheduler is responsible for planning, scheduling, and monitoring Data Centre projects, ensuring timely delivery by coordinating with stakeholders and tracking progress.

The Cybersecurity Director manages Vantage Data Centers' global cybersecurity strategy and programs, ensuring compliance, risk management, and fostering a culture of security. Responsibilities include incident response, policy governance, and team leadership.

Manage data center site selection activities, including sourcing, evaluation, due diligence, and acquisition strategy to support Vantage's expansion across APAC.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.

Leverage structured and unstructured data to solve business problems, develop machine learning models, and work on AI applications for financial services.

The Data Management Analyst supports data management initiatives, performs data validation and reconciliation, and collaborates with stakeholders for data quality and governance.

Lead design and implementation of Big Data architectures on Alibaba Cloud and AWS, optimize performance, ensure data quality and security, and build data pipelines.

The role involves developing and optimizing both offline and real-time data pipelines, ensuring data quality and collaborating across multiple teams to meet business requirements.

Responsible for designing, developing, and implementing Big Data products and backend systems, with a focus on on-chain data within Web3 applications.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

The Emerging Enterprise Account Executive will engage with customers, strategize sales approaches, and manage both technical and business conversations to drive value delivery and increase account growth.

Lead market and consumer research for the Digital Appliance category: perform primary and secondary research, competitive and industry analysis, market modelling and opportunity sizing. Synthesize insights into actionable strategies and visualizations, support consumer research design, facilitate innovation workshops, and collaborate with cross-functional teams to inform product innovation and market positioning.

Develop and optimize machine learning solutions for cybersecurity problems, deploying models, collaborating with teams, and ensuring continual improvement of cybersecurity strategies.

As an Associate Data Scientist, you will develop and optimize machine learning solutions, deploy models, and collaborate with cybersecurity teams to improve strategies.

Design and architect data storage solutions, create and manage data pipelines, implement automation, and ensure data quality and compliance using AWS and Databricks while collaborating with cross-functional teams.

The Sales Strategist will drive complex deal-making and financial strategies, support sales teams, and optimize revenue for large transactions and partnerships.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.

The Market Data Operations Analyst supports clients by managing market data processes, ensuring accurate service delivery and contributing to strategic projects.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

The Data Scientist will develop AML detection models, analyze datasets for suspicious patterns, automate data pipelines, and prepare reports for stakeholders.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.