Senior Data Scientist Industrial

Job Description – Industrial Data Scientist (BOPP Film Manufacturing)

Location: Pan-India / Flexible | Department: Data Science & Operations Excellence | Reports To: Head of Operations / Chief Technology Officer

We are seeking a highly skilled Industrial Data Scientist with deep expertise in BOPP film manufacturing processes and a strong background in polymer physics. This individual will work at the intersection of manufacturing, process engineering, and advanced data science, developing solutions that improve line efficiency, maximize conversion ratio, reduce waste, enhance demand forecasting, and maintain golden-run performance across plants.

This is a high-impact role requiring strong domain expertise, applied machine learning skills, and the ability to translate research into deployable solutions on real production lines.

Process Data Analysis:

Predictive Modeling:

- Demand forecasting (client-wise, grade-wise)

- Process parameter optimization (temperature, line speed, tension, draw ratio, gauge control)

- Predictive maintenance of bearings, tenter chains, winder motors

Physics-Based & Hybrid Modeling:

Apply DoE and Response Surface Methodology to identify golden-run operating conditions.

Quality Optimization:

Early Warning & Anomaly Detection:

Collaboration & Implementation:

Visualization & Reporting:

Master’s or PhD in Data Science, Applied Physics, Chemical Engineering, Materials Science, or a related field.

Strong background in polymer physics or film processing mechanics preferred.

- Advanced proficiency in Python/R, scikit-learn, TensorFlow/PyTorch

- Time-series forecasting (ARIMA, Prophet, LSTM)

- Familiarity with SCADA/MES/IoT historian data systems and SAP PP/PPDS integration

- Understanding of orientation, crystallization, heat transfer, tensile properties

- DOE, multivariate regression, SPC, Six Sigma and response surface methodology

- MLOps practices for model deployment

- Problem-solving and analytical mindset

- Excellent communication skills for technical and leadership presentations

- Collaborative and cross-functional team leadership

- 4–8 years in manufacturing/industrial data science roles

- Prior experience in BOPP, BOPE, PET films, or packaging industry

- Track record in yield improvement, waste reduction, predictive maintenance projects

- Publications, patents, or conference participation in polymer processing or AI

+5–10% OEE improvement

20–40% reduction in start-up/changeover waste

15–25% reduction in energy per ton of film

>95% precision in inline defect detection

Improved forecast accuracy → better production planning & lower FG inventory

Opportunity to lead digital transformation in a global manufacturing setup.

Work with cutting-edge machine learning and IIoT tools.

Competitive salary with performance-linked incentives.

Exposure to plant leadership and direct P&L impact.

Platform to publish/present at industry conferences (TAPPI, AIMPLAS).