Description
Lead the end-to-end delivery of data science and AI initiatives across manufacturing and operations
Develop and deploy scalable models for scheduling, optimization, predictive maintenance, and process improvement
Design data pipelines, analytics tools, and visualizations to support enterprise decision-making
Apply advanced methods including machine learning, Bayesian modeling, and simulation
Partner with cross-functional leadership to prioritize initiatives and drive adoption
Establish best practices for model validation, reproducibility, and deployment
Communicate complex analytical insights clearly to technical and non-technical audiences
Skills
data science, statistical models, bioinformatics, Gmp
Top Skills Details
data science,statistical models,bioinformatics
Additional Skills & Qualifications
PhD in quantative with 0–2 years OR Master’s with 5–8 years experience
Proven experience delivering complex data science projects in in...