Top Data Jobs in Singapore

The Enterprise Account Executive, Acquisition role focuses on developing a sales strategy within a territory for new customer acquisition, meeting sales targets, and collaborating with Solutions Architects and Professional Services teams.

The role involves managing strategic programs within the APAC Chief Data & Analytics Office, ensuring alignment with business goals, fostering collaboration, and driving AI initiatives.

The Data Analyst will support data quality and governance initiatives, analyze data landscapes, and collaborate cross-functionally to ensure data integrity for business insights.

Manage risk portfolio, apply statistical and machine learning models to estimate market risks, and partner with stakeholders to provide data-driven decisions.

This role involves building a centralized risk platform with advanced analytics and machine learning, conducting risk analysis, and optimizing risk strategies while collaborating with internal and external stakeholders.

Design and implement experiments and develop algorithms to enhance payment success rates while collaborating across teams for strategic decisions.

Oversee cross-functional initiatives for the Realtime Data Platform, define strategic roadmaps, scale engineering teams, and develop technical strategies for real-time data analysis.

The Staff Data Scientist will support the CEO and regional leads with data analysis, causal inference, forecasting, and mentoring juniors. Responsibilities include building forecast tools and data products while collaborating with various teams.

As a Staff Data Platform Engineer, you will oversee the architecture and operation of data and AI platforms, influence decision-making, and mentor a high-performing team.

Lead the data science team by providing mentorship, influence strategy through data analysis, and help shape product strategies based on data insights.

As a Senior Data Platform Engineer, you will design and optimize data architectures, develop large-scale distributed systems, and mentor junior engineers while advocating for high-quality software practices.

The role involves leading a team to develop and maintain data infrastructure, design scalable software applications, ensure quality, and collaborate with cross-functional teams.

The role involves designing and maintaining data pipelines, collaborating on data architecture, and integrating external data sources to optimize data operations.

As a Senior Machine Learning Engineer, you will analyze business needs, develop ML solutions, and collaborate on risk management in international payments.

The role involves analyzing large data sets, applying statistical techniques, and collaborating with cross-functional teams to drive product strategy and improvements.

As a Data Production Engineer, you will support automated trading systems, manage data processes, and collaborate with teams to prepare data for analysis.

The Head of AI/ML Solutions Enablement manages AI capabilities in APAC, translating business needs into technical specifications, driving adoption, and ensuring measurable business value while promoting AI literacy across teams.

The Head of AI Strategy and Commercialization will lead the development of AI roadmaps and commercialization strategies, ensuring alignment with business goals and compliance standards while managing senior stakeholder relationships and impactful AI-driven solutions.

Lead the Payments Optimization team at Airwallex, focusing on improving payment success rates through advanced data science techniques like contextual bandits and predictive modeling.

The Head of AI/ML Capabilities leads AI and machine learning strategies, overseeing development, deployment, and performance of AI/ML solutions to enhance business outcomes. This role involves managing a high-performing team, collaborating across departments, and advocating for innovative data-driven solutions while ensuring compliance and ethical guidelines are met.

Lead strategic program management initiatives for APAC's Chief Data & Analytics Office, overseeing project delivery, stakeholder collaboration, and resource management to achieve business objectives.

In this role, you'll oversee AI and data risk compliance, develop policies, engage with regulators, and report on risk management for APAC.

Develop next-gen data infrastructure solutions for AI initiatives, collaborating with data teams and ensuring system reliability and compliance.

The Senior Data Engineer will design and implement ETL processes, manage data pipelines, ensure data governance, and leverage AI in data systems while collaborating cross-functionally.

As a Data Engineer II, you'll design data models, manage ETL pipelines, ensure data governance, and explore integrations with AI to enhance data solutions.