Industrial AI & Data Scientist - Smart Manufacturing

Allozymes; Singapore; Presencial; SGD 120.000 - 150.000; Jornada completa

Descripción de la vacante

Agilent Technologies Inc. is seeking an AI & Data Scientist for Smart Manufacturing to build intelligent analytics, ML, optimization, Generative AI, and Agentic AI solutions that boost quality, productivity, and reliability across global manufacturing sites.

You will work with software, automation, and manufacturing engineers to deploy production-ready AI inside enterprise platforms. The role supports translating operational challenges into scalable AI, driving continuous improvement, and

Formación

• Bachelor’s/Master’s/PhD in Computer Science, AI, Data Science, Statistics, Mathematics, Engineering, or related discipline.
• Experience applying machine learning, statistical analysis, or AI techniques to real-world problems.
• Proficiency in Python and SQL.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and collaboration skills across multidisciplinary teams.

Responsabilidades

• Develop machine learning and statistical models to improve manufacturing quality, productivity, and performance.
• Analyze manufacturing data to identify trends, anomalies, and optimization opportunities.
• Apply predictive, classification, forecasting, and optimization techniques to business problems.
• Design and develop AI solutions; prototype and evaluate AI technologies for manufacturing workflows.
• Collaborate with software engineers to deploy AI capabilities into enterprise products.

Conocimientos

Python

SQL

Machine learning

Data analysis

Communication

Educación

Bachelor’s/Master’s/PhD in Computer Science or related field

Descripción del empleo

Agilent Technologies Inc. is seeking an AI & Data Scientist for Smart Manufacturing to build intelligent analytics, ML, optimization, Generative AI, and Agentic AI solutions that boost quality, productivity, and reliability across global manufacturing sites.

You will work with software, automation, and manufacturing engineers to deploy production-ready AI inside enterprise platforms. The role supports translating operational challenges into scalable AI, driving continuous improvement, and