Top Data Jobs in Singapore

As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.

The Enterprise Account Executive, Acquisition role focuses on developing a sales strategy within a territory for new customer acquisition, meeting sales targets, and collaborating with Solutions Architects and Professional Services teams.

The Senior Managing Counsel will provide strategic legal advice on privacy laws, lead a privacy team, and ensure compliance across Mastercard's products in the Asia Pacific region.

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.

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.

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.

This internship focuses on understanding maintenance costs and part usage in manufacturing equipment, involving data analysis and workflow documentation.

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 experimentation for payments: design and run frontend experiments, quantify growth opportunities, build measurement frameworks and north-star metrics, translate business problems into data science projects, communicate insights to stakeholders, and mentor junior data scientists while owning cross-functional initiatives.

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.

Lead technical strategy for payments optimization to balance conversion, fraud risk, and cost. Design and implement advanced optimization algorithms, guide experimentation and causal inference, collaborate with product and engineering to deploy ML systems at scale, influence product strategy, and mentor junior data scientists.

Lead the Realtime Data Platform team to define a 1–3 year technical roadmap, modernize the core platform for petabyte-scale real-time analytics, partner with product teams to enable data-driven features, scale and structure engineering teams, and serve as a trusted technical advisor across Data and AI initiatives.