Top Data Jobs in Singapore

The role involves designing software and algorithms to analyze large datasets for actionable insights, enhancing production processes and product development.

The Senior Data Scientist will develop digital twin solutions for semiconductor fabs, utilizing machine learning, predictive analytics, and simulation tools to optimize operations and enhance decision-making processes.

The Data Scientist will analyze big data to develop predictive models and actionable insights, collaborating with various teams to enhance products and services.

Design and develop AI manufacturing solutions, high-quality analytics applications, and collaborate globally to improve production metrics in smart manufacturing environments.

Lead the development of digital twin models and AI-driven solutions to enhance semiconductor fab operations, utilizing simulation and machine learning techniques.

The intern will apply data science, statistics, and machine learning in semiconductor process development, focusing on data analysis and predictive modeling to enhance process accuracy.

The internship focuses on applying data science and machine learning to analyze large datasets in semiconductor manufacturing, with responsibilities including data extraction, model building, and collaboration with teams.

As a Data Scientist, you will analyze large datasets, develop predictive models, coordinate deployment activities, and utilize advanced machine learning techniques while collaborating with teams.

As a Product Engineer, you'll lead initiatives for yield enhancement using advanced data analytics, collaborate across teams, and develop AI/ML models to improve quality and efficiency.

The Engineer - Cost Data & Analytics will analyze cost data, develop analytics solutions, and improve data quality to support performance tracking against cost targets.

The Sr Data Scientist at Micron will develop data-driven solutions for semiconductor manufacturing, applying optimization and machine learning techniques, and collaborating with engineers and IT teams to translate complex requirements into scalable solutions.

As a Computer Vision Engineer, you will develop image processing solutions, apply machine learning techniques, and collaborate on engineering projects to enhance manufacturing innovation.

The AVP will lead UOB's partnerships and ecosystem development, enhancing the Innovation Group's strategic initiatives with external stakeholders and emerging technologies.

As Senior Manager, you will establish governance frameworks for model and data standards, ensuring compliance and effectiveness in financial practices.

The Principal Advisor leads technology transformation initiatives, shaping strategies and governance to ensure successful delivery and alignment with business outcomes across various domains such as cloud and data. They engage with senior executives, oversee presales activities, and guide organizational change while developing new consulting methodologies and frameworks.

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.

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

Seek an Entry-Level Data Scientist to analyze semiconductor data, build predictive models, develop dashboards, and support quality investigations.

The Consultant/Senior Consultant will manage projects, develop practice-related content, and enhance data delivery methodologies, ensuring timely and quality project completion.

The role involves leading data governance and finance transformation projects, supporting client initiatives, and implementing enterprise data strategies for financial institutions.

Design and maintain Data Marts using dimensional modeling, build data pipelines, ensure data integrity and support business analytics needs.

Develop and implement Data Warehouse solutions for Risk Control, focusing on architecture, real-time applications, and report data management.

Develop and maintain internal Data Platform components, ensuring system scalability, high availability, and integration with data warehouses and orchestration systems. Write maintainable code and support deployment and monitoring processes.

The role involves managing end-to-end business requirements, optimizing data pipelines, and leveraging big data technologies for product and service improvement.

Lead the planning and governance of data platforms, translating business strategies into data product solutions, collaborating cross-functionally, and driving data literacy across the organization.