Top Data Jobs in Singapore

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.

The Staff Data Scientist will lead the technical strategy for payments optimization, implementing advanced algorithms and collaborating with cross-functional teams to enhance payment performance and product adoption.

Intern will apply data analytics and AI modeling to wet etch and clean processes, focusing on process optimization and technology readiness, while developing technical skills and working on experiments.

As an intern, apply data analytics and machine learning to analyze semiconductor data, build models, and communicate insights to teams.

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 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.

The role involves ensuring compliance with quality standards in biopharmaceutical manufacturing, providing QA consultation, managing KPIs, and implementing compliance initiatives.

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

As a Software Technology Sales Specialist, you will drive software sales, identify opportunities, and collaborate with client managers to optimize sales strategies and solutions.

The Senior Manager, Software Applications Development oversees the design, development, and implementation of software applications, managing a team and ensuring projects meet business requirements and budgets.

As a Client Manager, you will build client relationships, ensure satisfaction, drive sales growth, and develop account strategies using Salesforce.com.

The Senior Talent Acquisition Partner leads recruitment efforts, collaborates with hiring managers, develops strategies, and ensures a high-quality candidate pool for the organization.

The Data Analyst will partner with sales leadership to improve business performance, analyze KPIs, prepare reports and influence decision-making.

Assist in data collection, validation, preparation, and transformation. Support dashboards, conduct basic analysis, and collaborate across teams.

As a Data Scientist, you will develop AI and ML models, collaborate with stakeholders to identify business challenges, and maintain deployed models and applications.