Data Scientist | Chemical Manufacturing

Randstad; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading recruitment agency is seeking a Senior Data Scientist in Singapore to build and deploy machine learning models that enhance industrial efficiency. Candidates should have over 5 years of experience in Data Science and full-stack ML engineering. Exposure to the manufacturing sector is highly preferred. This role offers autonomy, a clear career trajectory, and the opportunity to influence project strategy.

Benefits

Career growth opportunities

Investment in technology

Qualifications

• 5+ years of hands-on experience in Data Science and full-stack ML Engineering.
• Experience with MLOps/DevOps pipelines is required.
• Exposure to the manufacturing industry is highly preferred.

Responsibilities

• Build and deploy analytical models and machine learning algorithms.
• Partner with stakeholders to maintain robust MLOps/DevOps pipelines.
• Research emerging industry trends in Data Science and ML methodology.
• Translate analytical findings into reports and presentations for stakeholders.

Skills

Data Science

Machine Learning

MLOps

DevOps

Data reporting

Job description

• Autonomy to make key decisions and interaction with senior management
• Clear trajectory toward becoming a Product Owner, giving you influence over project strategy and roadmap.

About the company

Our client is an established high tech manufacturing MNC with over 20 years of experience who is a market leader within their industry. As part of their plan to invest in technology, they are now hiring an experienced Senior Data Scientist to join their team.

About the job

• Building and deploying cutting-edge analytical models and machine learning algorithms that redefine industrial efficiency and yield.
• Partner with business stakeholders to design, build, and maintain robust MLOps/DevOps pipelines. You will ensure our models move seamlessly from prototype to enterprise-scale production, ensuring data integrity and security compliance.
• Continuously research and vet emerging industry trends in Data Science and ML methodology, actively bringing in new tools and techniques to maintain our competitive edge.
• Translating complex analytical findings into compelling, concise reports and presentations for stakeholders, directly influencing critical business decisions with your insights and recommendations.

Skills and experience required

As a successful applicant, you will have at least 5 years of experience in hands‑on, end‑to‑end experience spanning Data Science, full‑stack ML Engineering (DevOps/MLOps), and project execution.

Exposure to manufacturing industry is highly preferred for this role.

What's on offer

This is an excellent opportunity to join an established company with heavy investments in technology.

To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/hoonteck-nologyrecruitment.