Top Data Jobs in Singapore

The Investment Manager will evaluate and execute investment opportunities in real estate and digital infrastructure, manage site acquisitions, and collaborate with external parties.

The role involves analyzing user growth, optimizing growth funnels, developing user segmentation, evaluating marketing effectiveness, and collaborating with cross-functional teams to improve data strategies.

Develop full-stack applications and data tools, manage ETL pipelines, and collaborate with product and marketing teams to integrate data for business insights.

Assist in executing analytic projects, collaborate with teams for business outcomes, develop machine learning models, and ensure data consistency and quality.

Lead the South APAC region sales for Digital Wealth Solutions, managing a team and driving revenue growth through client engagements and strategic leadership.

Lead data science engagements for Visa's clients, focusing on AI/ML strategies, project management, and stakeholder collaboration to drive business impact.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

You will develop the Feedzai Orchestration, focusing on backend engineering using Scala, and engage in full-stack responsibilities, ensuring high-performance systems and effective collaboration with product and design teams.

As an Expert Software Engineer, you will lead engineering teams, drive technical initiatives, and oversee the development of a scalable Data Orchestration SaaS product for financial risk management.

The Foundational Data Build Engineer will enhance data platforms, develop ETL pipelines, optimize performance, and collaborate with technical teams to solve complex challenges.

The Technical Product Owner ensures client stakeholder requirements are met in data projects, managing backlogs and facilitating Agile processes. Responsibilities include writing user stories, engaging stakeholders, and maintaining delivery roadmaps.

Lead Data Scientist to manage complex analytical projects, design and implement machine learning models, mentor junior team members, and collaborate with stakeholders to drive data-driven solutions.

The Senior Team Lead is responsible for evaluating and enhancing business processes, managing a team for execution and improvement, and ensuring alignment with organizational goals.

Lead the Application Solutions division with full P&L accountability, driving growth through client engagement, market strategies, and operational excellence.

Design, develop, and maintain data pipelines, optimize SQL queries, and ensure data quality while collaborating with stakeholders in the banking sector.

As a Functional Business Analyst, you will work with project teams on data management and CRM systems, defining requirements and reviewing specifications while ensuring quality deliverables.

The Data Centre Engineer will support the HPC infrastructure, perform maintenance and troubleshooting, and communicate with various teams to ensure operational stability.

The Operations Excellence Engineer will enhance service delivery and operational standards in the Singapore data centre by designing processes and facilitating performance improvements.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Data Engineer Analyst will manage and validate large datasets for risk modeling and financial analysis, ensuring data integrity and collaboration with teams.

The role involves maintaining the Market Data Platform, developing scripts for automation, and engaging with stakeholders to optimize systems and document solutions.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

Design, build, and maintain data infrastructure for AlgoQuant's quantitative research. Develop data processing pipelines and a Data Lake, ensuring data quality and collaboration with stakeholders.

Manage the data science team to solve engineering tasks in digital advertising, lead projects, and guide junior members on technology integration. Assess model efficiency and ensure timely task delivery while focusing on best practices in information security.

As a Data Specialist, you'll manage data products, ensuring accuracy and generating insights for institutional investors. You'll also enhance your programming skills using Python and SQL.