Top Data Jobs in Singapore

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 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.

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.

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.

Lead audit engagements focusing on data and AI governance. Assess frameworks, manage risks, and collaborate with stakeholders to drive audit quality. Foster innovation in audit processes.

Drive revenue and exceed targets through business development, strategizing, client engagement, presentations, and managing contracts while collaborating with cross-functional teams.

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

Lead the strategy and architecture for enterprise data and AI, focusing on design authority, governance, metrics, and capability building.

Lead enterprise data and AI architecture strategy, ensuring alignment with business goals and guiding solution designs while managing cross-domain initiatives and compliance requirements.

The Data Engineering Manager leads data infrastructure design on Alibaba Cloud, mentors data engineers, and ensures data governance and compliance while optimizing data workflows.

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

The role involves collaborating with teams to develop AI and GenAI capabilities and applications, integrating them into the banking ecosystem, and providing expertise in AI technologies.

Develop and deploy analytics and predictive models to improve logistics operations. Lead cross-functional initiatives, providing insights and fostering data-driven decision-making.

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

The HSE Manager is responsible for ensuring health and safety compliance in data centre construction and operations, leading safety initiatives, and monitoring performance metrics.