Senior Digital Manufacturing & AI Solutions Engineer

WSAudiology; Singapore; Vor Ort; SGD 90.000 - 140.000; Vollzeit

Zusammenfassung

WSAudiology is seeking a data analytics and digital transformation leader to strengthen manufacturing operations globally. You will design end-to-end data solutions, dashboards, and data pipelines, applying statistical methods and AI concepts to monitor performance and enable proactive decision-making.

You will collaborate with Manufacturing, Engineering, IT and external partners to drive digitalization, optimize workflows, and deliver scalable, data-driven improvements across global sites.

Qualifikationen

• Bachelor's or Master's degree in relevant field (e.g., Computer Science, Data Science, IT, Analytics)
• Experience in manufacturing digitalization, data engineering, BI, and related tech ecosystems.
• Strong stakeholder management and cross-functional communication.
• Experience delivering analytics solutions from requirements to deployment.

Aufgaben

• Design end-to-end data solutions for acquisition, transformation, storage, analysis, visualization and distribution.
• Build dashboards and visualizations for KPIs and operational performance.
• Develop data pipelines integrating various data sources and systems.
• Create web-based interfaces for operational reporting and analytics.
• Apply statistical methods and predictive analytics to monitor and improve manufacturing performance.
• Maintain and support BI solutions and analytics architecture for daily operations.
• Document technical requirements, testing, and quality compliance.

Kenntnisse

Data analytics

Dashboard development

Statistical analysis

AI/ML awareness

Stakeholder management

Ausbildung

Bachelor's or Master's degree in Computer Science

Tools

SQL

Python

Power BI

ETL tools

Jobbeschreibung

WSAudiology is seeking a data analytics and digital transformation leader to strengthen manufacturing operations globally. You will design end-to-end data solutions, dashboards, and data pipelines, applying statistical methods and AI concepts to monitor performance and enable proactive decision-making.

You will collaborate with Manufacturing, Engineering, IT and external partners to drive digitalization, optimize workflows, and deliver scalable, data-driven improvements across global sites.