Top Data Jobs in Singapore

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 Data Scientist will develop and deploy ML models, conduct data analysis, optimize air traffic solutions, and maintain pipelines in a collaborative environment.

The Sales Executive will drive revenue acquisition, exceed sales targets, and develop strategies across territories, focusing on consultative sales for financial services solutions.

As a Principal Security Services Architect, you will design and deliver security managed services, engage with clients, and ensure solutions meet business goals.

The Director, Sales & Solutions Engineering drives technical solution development and execution, supports sales activities, and coordinates proposals to meet customer needs.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

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

Assist in translating business cases into technical solutions utilizing various technologies. Support data warehouse design, address performance issues, and contribute to data management standards.

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

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

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

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

The Data Engineer will lead the migration of data infrastructure to AWS, design ETL processes, and migrate dashboards while ensuring documentation and user training.

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.

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 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.

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.

Manage cloud infrastructure on AWS focusing on reliability and performance, build Data Lake architecture, administer databases, and ensure data quality and compliance.

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

The Senior Manager, P&C Business Partner is responsible for implementing HR strategy, enhancing employee relations, and optimizing workforce planning while fostering team collaboration and ensuring compliance with HR policies.

The Senior Associate HR Business Partner develops HR solutions, manages organizational development and talent management activities, and drives diversity initiatives.

As a Cross Technology Sales Specialist, you will identify and pursue sales opportunities, engage with clients, and collaborate internally to create solutions that meet client needs while achieving sales targets.

As a Product Engineer in Advance Data Analytics, you will lead initiatives to enhance yield and quality using data analysis, machine learning, and AI. Responsibilities include algorithm development, data infrastructure enhancement, and collaboration with cross-functional teams.