Top Data Jobs in Singapore

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

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 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 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 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.

The Partner Development Manager is responsible for strategizing and managing partnerships with GSIs and System Integrators in ASEAN to drive revenue, increase brand awareness, and develop go-to-market strategies.

Handle the full sales cycle in IT consulting, build enterprise sales pipelines, engage decision-makers, and drive consultative selling for technology solutions.

Design and implement advanced scheduling, optimization, and simulation solutions in manufacturing to improve production metrics and drive innovation.

The role involves overseeing the architecture, development, and operations of data and AI platforms, mentoring a team, and resolving complex challenges using innovative solutions.

As a Senior Data Engineer, you will design and implement data models, manage ETL pipelines, enforce data governance, and integrate AI practices.

The Staff Data Scientist will design experiments, improve payment products, build measurement frameworks, and mentor junior data scientists at Airwallex.

Lead Growth Analytics team, mentor data scientists, apply data techniques to drive growth, optimize strategies, and establish measurement frameworks.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

The Data Scientist will analyze extensive data using advanced techniques in machine learning and optimization to derive insights and create predictive models.

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 a Principal Data Scientist at Micron, lead the development of smart manufacturing AI solutions, overseeing factory scheduling, optimization, and simulation to enhance operational performance.

The Staff Data Scientist will support executives with insights, build data products, mentor juniors, and leverage AI for efficiency in sales analytics.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

The Customer Success Manager manages key client relationships, supports account strategies for growth, monitors account performance, and collaborates with internal teams to ensure client satisfaction and retention.

The Senior Mechanical Engineer will lead technical problem-solving, mentor engineers, oversee mechanical operations, and drive design initiatives across multiple data centers.

The Specialist in Data Analytics will analyze data to provide insights for business decisions, create reports, and collaborate on digital strategies to enhance APAC's eCommerce ecosystem.

The Senior Software Engineer for the Data Platform will design and build scalable data infrastructure, focusing on data processing, discovery, and lineage systems, ensuring robust code and system design.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

The Data Scientist role involves designing experiments, analyzing model performance, and integrating ML features while collaborating in an Agile environment.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.