Top Data Jobs in Singapore

Lead enterprise data architecture and analytics initiatives, developing complex PowerBI dashboards and automation solutions to support decision-making.

The SR Data Scientist will analyze data in semiconductor manufacturing, optimize yields, develop data pipelines, support experiments, and communicate findings using visualization tools.

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

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

The Data Scientist will optimize semiconductor processes, analyze data, develop visualization tools, and support production through advanced analytics and modeling.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

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 at Micron, you will develop computer vision systems and deep learning models while analyzing large-scale datasets and collaborating cross-functionally.

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

Responsible for building and maintaining data pipelines, optimizing data structures, and developing ETL processes with AI support for data analytics applications.

The role involves developing data solutions and ETL processes, optimizing data structures, and incorporating AI to enhance data analytics and engineering.

Intern will apply industrial data analytics in semiconductor manufacturing to improve productivity, efficiency, and process insights, using metrology data analysis.

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.

Serve as ASOs single front door for Operations demands across Asia, translating business needs into prioritized initiatives, managing demand pipeline, shaping improvement using AI/data/APIs, and coordinating stakeholders to deliver operational efficiency, compliance, and value realization.

Develop and deploy product-disposition workflows and deviation alert systems using statistical tools and ML/AI to improve yield, reliability, and quality. Build algorithms for data mining, pattern recognition, and wafer/die screening. Collaborate with Fab, design, and quality teams, mentor team members, and drive technical innovation to meet KPIs like quality, cost, cycle time, and scale.

Lead the development and execution of the NA digital transformation and data strategy, enhancing capabilities in AI and digital technologies across the business.

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.

As a Senior Data Scientist, you'll define and execute roadmaps, partner with IT for system management, design scheduling logic, develop solutions in C#, Python, and SQL, and communicate strategic recommendations to leadership while tracking KPIs.

Design, implement, and maintain data-driven processes and analytics solutions. Collect, cleanse, automate, and prepare data from disparate sources. Build KPIs and dashboards, apply statistical and machine learning methods, collaborate with stakeholders, perform testing and deployment, and train users to enable data-driven decision making and process improvements.

Manage, maintain, and optimize critical database systems (SQL Server, Oracle). Perform installs, patches, backups, access control, monitoring, performance tuning, incident/change/problem management, on-call support, capacity planning, automation, reporting, and collaborate with global teams and site stakeholders.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform solutions, build scalable multi-region pipelines, enforce governance and security, mentor the team, advocate best practices, and influence technical roadmaps to enable AI/ML-driven business impact.

Lead analytics and data design for regulatory and financial crime reporting. Build data foundations, validation frameworks, automated test suites, and snapshot/versioning for reproducible reports. Perform deep-dive analyses for anomalies and audits, shape a scalable reporting and risk analytics platform, and partner with cross-functional teams while mentoring adjacent analysts and data scientists.

Lead architecture, development, and operation of Airwallex's data and AI platforms. Drive company-wide data platform strategy, build scalable multi-region data pipelines, promote best practices, mentor engineers, and enable data-driven decision making and AI readiness across the organization.