Top Data Jobs in Singapore

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

Responsible for sales results in mid-size and large accounts, developing customer relations, analyzing sales data, and driving innovative products.

The Data Analyst role focuses on analyzing and visualizing operational data to identify trends and improvements, collaborating with teams to implement solutions.

Lead business analysis for AI and data initiatives, bridging business needs and AI capabilities, while ensuring adherence to governance and compliance standards.

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

The Senior Data & Reporting Analyst will support global entities in managing outsourcing risks by analyzing data, monitoring service performance, and ensuring compliance with regulations.

As a Senior Data Engineer, you will enhance data reliability by designing scalable pipelines, collaborating with data teams, ensuring data security and governance, while adhering to best practices and regulatory standards.

The Data Analyst supports Compliance Asia by analyzing client activity data to ensure compliance with AML, KYC, and regulatory requirements. Responsibilities include data collection, analysis, report preparation, and collaboration with compliance and IT teams.

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

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

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.

Assist in data collection and annotation processes to enhance self-driving software development, collaborating with teams for data quality and sensor calibration.

The Senior Data Scientist will leverage Machine Learning techniques to optimize game development processes, enhance workflows, and collaborate with teams to improve player experiences.

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 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.

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.

Lead the development and launch of data/AI products, manage product vision and strategy, and collaborate with stakeholders to drive adoption and business value.

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

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.

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 role involves providing support and maintenance for .NET applications, troubleshooting issues, collaborating with teams, and optimizing application performance.

The Senior Client Manager will leverage advanced experience to develop complex operational initiatives, manage business targets, and interact persuasively with key stakeholders, fostering innovative solutions and client success.