Data Scientist - Manufacturing Analytics
Core
Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities using Seeq and Python.
Role type
Senior IC data scientist (manufacturing analytics)
Builds
Predictive maintenance models, process efficiency solutions, and quality/yield optimization tools
Domain
Manufacturing / Industrial / Plant operations
Required skills
Seeq (Workbench, Data Lab, seeq spy), Python (Pandas, NumPy, Scikit-learn), SQL, Machine Learning (regression, anomaly detection), Statistical modeling, Time-series analysis, Sensor data analytics, Root-cause analysis
Preferred skills
MLOps, Cloud platforms (Azure, AWS, GCP), Data engineering (ETL, pipelines), Data visualization, Real-time streaming analytics
Technologies
Seeq, Python, Pandas, NumPy, Scikit-learn, SQL, Azure, AWS, GCP
Responsibilities
Analyze manufacturing plant and process data to identify patterns, anomalies, and optimization opportunities; Use Seeq platform for time-series analysis, root cause investigation, and process monitoring; Develop and deploy machine learning models for predictive maintenance and process efficiency; Work closely with plant, engineering, and operations teams to understand real-world process issues; Build and maintain data pipelines, analytical datasets, and workflows; Monitor, evaluate, and continuously improve model performance in production; Present actionable insights through dashboards, reports, and stakeholder discussions; Ensure data quality, reliability, and governance across manufacturing data sources
Seniority
Senior, hands-on IC