Top Data Jobs in Singapore

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.

The role involves driving product adoption through data analysis, designing growth experiments, building predictive models, and collaborating with cross-functional teams.

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

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

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.

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.

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 role focuses on advancing data and AI governance, implementing innovative strategies, maintaining compliance, and integrating governance controls into workflows. Responsibilities include proactive detection systems and collaboration across teams to ensure operational efficiency and audit readiness.

The Strategic Enterprise Account Executive will grow strategic accounts, manage customer relationships, drive sales, and expand Databricks usage across organizations.

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.

The Head of Financial Services APJ GTM Leader will drive Databricks' GTM strategy in Asia Pacific, develop partnerships, advise customers, and lead cross-functional teams.

The role involves end-to-end back-end feature development in JavaScript, system design, and independent responsibilities in an agile environment.

The BDR will engage potential customers through digital outreach and in-person events, qualifying leads, and supporting the sales team in pipeline creation.

The Sales Specialist for Data & Feeds will drive gross sales of pricing and reference data services, engaging with institutional clients, and handling regulatory compliance needs. They will collaborate with account managers and drive revenue growth through relationship building in various departments.

Drive sales of data solutions to institutional clients, improve operational efficiency, and develop client relationships in financial markets.

The Portfolio Data Analyst will gather and track investment data, monitor financial statements, process capital calls, and collaborate across departments to support operational tasks.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.