Industrial Data Scientist: Predictive Maintenance & Ops

JEET ANALYTICS PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

JEET ANALYTICS PTE. LTD. is seeking a data scientist to analyze manufacturing plant data and drive data-driven improvements. The role focuses on developing and deploying machine learning models using Seeq and Python to optimize predictive maintenance, process efficiency, and quality outcomes.

You will collaborate with cross-functional teams, build data pipelines, ensure data quality, and present actionable insights through dashboards and reports to enable informed decisions.

Qualifications

• Experience analyzing manufacturing data to improve operations.
• Proficient in time-series analysis and root-cause investigation.
• Experience deploying ML models in production and monitoring.
• Background in industrial processes and data governance.

Responsibilities

• Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities
• Perform time-series analysis, root cause investigation, and process monitoring using the Seeq platform (Workbench and Data Lab)
• Develop and deploy machine learning models for predictive maintenance, process efficiency improvement, and quality/yield optimization
• Collaborate with plant, engineering, and operations teams to translate business challenges into data science solutions
• Build and maintain data pipelines, analytical datasets, and workflows to support operational analytics
• Monitor, evaluate, and continuously improve model performance in production environments
• Present actionable insights through dashboards, reports, and stakeholder discussions to drive informed decision-making
• Ensure data quality, reliability, and governance across manufacturing data sources
• Promote adoption of data-driven decision-making across plant operations

Skills

Time-series analysis

Seeq

Python

ML models

Predictive maintenance

Data visualization

Data pipelines

Data governance

Tools

Seeq Data Lab

Azure

AWS

GCP

Job description

JEET ANALYTICS PTE. LTD. is seeking a data scientist to analyze manufacturing plant data and drive data-driven improvements. The role focuses on developing and deploying machine learning models using Seeq and Python to optimize predictive maintenance, process efficiency, and quality outcomes.

You will collaborate with cross-functional teams, build data pipelines, ensure data quality, and present actionable insights through dashboards and reports to enable informed decisions.