About this role
Agilent seeks an AI & Data Scientist – Smart Manufacturing to turn data from production equipment, quality inspections, engineering processes, enterprise systems, and supply chains into solutions that improve manufacturing quality, productivity, equipment reliability, and operational performance across its global network. The role spans advanced analytics, machine learning, optimization, and, where appropriate, Generative AI and Agentic AI.
Responsibilities
- Develop machine learning and statistical models; analyze operational data for trends, anomalies, and improvement opportunities; and apply prediction, classification, forecasting, and optimization techniques to business problems.
- Translate manufacturing challenges into data-driven solutions. Prototype AI applications for engineering and manufacturing workflows, evaluate emerging technologies, and work with software engineers to integrate AI capabilities into enterprise products.
- Support production deployment with software and data engineering teams, monitor model performance, and improve solution accuracy, reliability, and scalability using cloud platforms and engineering best practices.
- Partner with Manufacturing, Engineering, Supply Chain, Quality, and IT teams to identify opportunities with measurable business value. Communicate findings to technical and business stakeholders and contribute to proof-of-concept and digital transformation initiatives.
Requirements
A bachelor’s, master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related discipline; experience applying machine learning, statistical analysis, or AI to real-world problems through academic, research, or industry projects; proficiency in Python and SQL; and strong analytical, problem-solving, communication, and collaboration skills. Candidates at multiple career stages are welcome, with responsibilities aligned to experience and capability.
Preferred
Experience in manufacturing or industrial analytics, computer vision, time-series analytics, Generative AI or large language models, cloud-based AI platforms, MLOps, or Industry 4.0 and smart manufacturing.
This is a full-time, day-shift position in Singapore-Yishun with an option to work remotely. No travel is required. A specific pay range is not provided; the recruiter can share the range for a preferred location during hiring.