Senior Data Scientist – Metals Division

About the role

We are looking for a Senior Data Scientist to join TVARIT’s Metals Division and build AI solutions that improve quality, yield, equipment reliability, and energy efficiency in metal manufacturing plants. The role suits a hands-on data scientist who has worked with real plant data, is fluent in time-series analysis and its tooling, and brings expertise in at least one metal manufacturing domain.

What you'll do

• Data Science & Modeling
• Develop, validate, and improve ML and statistical models for Predictive Quality, Predictive Maintenance
• Analyze high-frequency and batch time-series data from sensors, PLC/SCADA systems, historians, MES, and quality labs
• Apply anomaly detection, forecasting, classification, regression, and root-cause analysis techniques
• Design robust validation strategies for time-dependent data (e.g., time-based splits, leakage checks

What you need

• 7–13 yrs of experience
• Machine learning
• Python
• SQL
• Pandas
• Scikit-learn
• Statistics
• PhD or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• MLOps
• Deep learning
• AWS
• PyTorch
• TensorFlow
• GCP