Msat Data Science Jorhat

Key Responsibilities for MSAT
- Data Science. 1.

Machine

Learning
- Lead the design, development, and validation of advanced Machine learning models for improving process efficiency. Drive methodological decisions related to feature engineering, variable selection, model tuning, and robustness testing. PAT Strategy & Multivariate Process Monitoring
- Design and implement PAT analytics frameworks for real-time and near-real-time process monitoring. Interpret and analyze time-series, batch, and sensor-based data (e.g., NIR, Raman, process variables). Expertise in Performing MVDA (BEM & BLM) analysis in SIMCA software 3.

Technical

Lead
- Act as a technical lead for PAT, chemometrics, and ML initiatives. Collaborate closely with process engineers, manufacturing, quality, and business stakeholders. Translate complex analytical results into transparent, actionable recommendations for decision-makers. Mentor junior data scientists and contribute to capability building across the team. Tools & Technologies
- Programming & Analytics: Python (NumPy, Pandas, SciPy) ML & Chemometrics: scikit-learn, XGBoost, TensorFlow/PyTorch, custom PCA/PLS frameworks Visualization & Analysis: Jupyter, MVDA tools, SIMCA Bach evolution Modeling and Batch Level Modeling Data Types: Spectral data, time-series, batch and manufacturing process data Apply on Kit Job: kitjob.in/job/4mfghy