· Design, build, and evaluate supervised and unsupervised ML models (e.g., regression, classification, clustering, recommendation systems).
· Apply statistical modeling techniques such as linear/logistic regression, regularization, Bayesian methods, and time‑series analysis where appropriate.
...
Predictive Modeling: Engineer and maintain mathematical process models and predictive analytics tools to anticipate process trends and prevent deviations.
Regulatory Strategy: Develop and provide the scientific rationale and technical data required for successful regulatory process validation filings.
Root Cause Analysis: Lead complex scientific troubleshooting and root cause analysis (RCA) for process-related challenges.
...