Industrial Data Scientist: Predictive Maintenance

RISKDATA CONSULTING PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

RISKDATA CONSULTING PTE. LTD. is seeking a seasoned Data Scientist with 6+ years of experience to transform plant data into actionable insights.

You'll work with Seeq for time-series analysis, build predictive models in Python, and collaborate with manufacturing teams to identify maintenance and process optimization opportunities. You will develop data pipelines, monitor model performance in production, and present dashboards to stakeholders.

Qualifications

• 6+ years of experience in Data Science / Advanced Analytics.
• Hands-on experience in manufacturing / industrial / plant environments.
• Proficiency in Seeq for time-series analysis (Workbench and Data Lab).
• Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
• Strong skills in ML (regression, anomaly detection, predictive models).
• Experience building and deploying predictive models for predictive maintenance, process optimization, quality/yield improvements.

Responsibilities

• Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities.
• Use Seeq for time-series analysis, root cause investigation, and process monitoring/visualization.
• Develop and deploy machine learning models for predictive maintenance and process efficiency improvement.
• Work with plant, engineering, and operations teams to understand real-world process issues and translate them into data science solutions.
• Build and maintain data pipelines, analytical datasets, and workflows; monitor model performance in production.

Skills

Time-series analysis

Root-cause analysis

Analytical thinking

Predictive modeling

Data visualization

Tools

Seeq

Python

SQL

Pandas

NumPy

Scikit-learn

Seeq Data Lab

Job description

RISKDATA CONSULTING PTE. LTD. is seeking a seasoned Data Scientist with 6+ years of experience to transform plant data into actionable insights.

You'll work with Seeq for time-series analysis, build predictive models in Python, and collaborate with manufacturing teams to identify maintenance and process optimization opportunities. You will develop data pipelines, monitor model performance in production, and present dashboards to stakeholders.