Description

• 5+ years of experience in Data Science / Advanced Analytics
• Hands-on experience in manufacturing / industrial / plant environments
• Strong working knowledge of Seeq (industrial analytics platform) for time-series analysis
• Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL
• Strong understanding of:
  • Machine Learning (regression, anomaly detection, predictive models)
  • Statistical modeling and hypothesis-driven analysis
  • Time-series / sensor data analytics
• Experience building and deploying predictive models for:
  • Predictive maintenance
  • Process optimization
  • Quality and yield improvement
• Ability to work with sensor data, process data, and operational datasets
• Strong analytical thinking, troubleshooting, and root-cause analysis capability

Key Skills

Education

Bachelor's degree