Top Data Jobs in Singapore

The Senior Managing Counsel will provide strategic legal advice on privacy laws, lead a privacy team, and ensure compliance across Mastercard's products in the Asia Pacific region.

As a Data Scientist, you will optimize semiconductor manufacturing processes through data analysis, develop predictive models, and automate data workflows.

The Principal Data Scientist will optimize semiconductor yields, develop data pipelines, apply advanced analytics, support experimentation, and communicate findings effectively.

As a Senior Data Scientist, you'll analyze large datasets using advanced mathematical and statistical methodologies to derive actionable insights and optimize semiconductor operations.

The Principal Data Scientist will lead the development of digital twin technology integrating advanced simulation and predictive analytics, collaborating with engineers to optimize manufacturing processes.

Lead the development of AI/ML solutions for production planning and agentic systems, mentor junior data scientists, and optimize performance and efficiency of systems.

Lead the growth and performance of Airbnb's Homes business in Southeast Asia, managing teams to expand quality supply and enhance guest experiences. Collaborate cross-functionally to ensure market success and monitor business performance against KPIs.

The Senior DBA/Data Platform Engineer will manage SQL Server environments, ensuring reliability, performance, and disaster recovery, while collaborating with various teams to enhance database operation and support software delivery.

Design, build, and optimize data pipelines and DBT projects. Collaborate with teams to improve data-driven decision-making and advocate automation.

Manage daily data privacy operations, including data subject requests, privacy assessments, incident management, and regulatory compliance.

The Sales Specialist will drive sales of pricing and reference data services to institutional clients, focusing on middle and back office teams. Responsibilities include developing client relationships, articulating compliance value, and supporting workflow transformation efforts.

Lead the development of AI-enabled cybersecurity capabilities, focusing on data engineering, automation, and governance. Drive team performance across multiple domains ensuring consistency in operations and compliance with regulatory standards.

The Data Analyst will support digital transformation by automating workflows, managing data, building dashboards, and enhancing business operations with AI technologies.

The Data Scientist will design and develop data platforms, optimize ETL pipelines, and drive analytics and AI implementation within the Thales In-Flyt Experience ecosystem.

The Manager, TE Operations leads recruitment strategies, manages HR functions, ensures compliance, oversees financial management, and drives continuous improvement. They also mentor a team and enhance operational effectiveness in talent acquisition and HR processes.

The role involves supporting analytical needs, driving data quality initiatives, and transforming data into actionable insights for stakeholders. It also requires proactive problem-solving and managing projects effectively.

The Senior Data Engineer will design and implement data pipelines, modernize systems, and ensure data governance on cloud platforms. Responsibilities include real-time data processing, ETL workflow creation, and collaboration with teams on data solutions.

The Director of Enterprise Technology, APAC will manage all IT operations in the region, ensuring standardized services, scalability, and operational maturity while fostering partnerships with global teams.

The Data Scientist will develop ML models, conduct applied research, collaborate within product teams, and work on exploratory projects with government agencies.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

In this role, you will apply expertise in AI and data science to deliver impactful solutions for clients, leveraging your skills to solve complex challenges and engage with a diverse client base.

The Business & Data Analyst will partner with teams to analyze data, create data processing pipelines, and support analytics consulting projects, focusing on transport-related insights.

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

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

The Data Centre Engineer will manage data and colocation centres, coordinate logistics, and ensure operational standards for security and upkeep.