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Pharma/GMP specialization narrows the pool despite mid-level Data Scientist title and metro location.
Strong pharmaceutical manufacturing and GMP experience requirement makes cross-industry transferability low.
Requires 6+ years, Master/PhD, pharma/GMP experience and domain-specific tooling, so filters are strict.
Develop and deploy advanced analytics and predictive models for pharmaceutical manufacturing processes focused on real-time monitoring, anomaly detection, and process optimization.
Ensure compliance with GMP, data integrity, and regulatory standards in building digital analytics solutions within manufacturing environments.
Lead data integration, quality control, and automation efforts using platforms like Azure or AWS and visualization tools such as Power BI or Tableau.
6+ years of experience in data science, preferably in pharmaceutical manufacturing or a GMP-regulated environment.
Master’s or Ph.D. in Data Science, Statistics, Engineering, or related technical field.
Proficiency in Python or R, machine learning and statistical modeling, multivariate analysis (PCA/PLS), plus experience with tools like SIMCA or JMP.
Must be based in Hyderabad with willingness for 10–20% travel and occasional night/weekend support for global operations.
Experienced in pharmaceutical manufacturing or life sciences with strong expertise in GMP-regulated data science and manufacturing process monitoring.
Skilled in end-to-end analytics product deployment including data pipelines, APIs, and automation within cloud environments (Azure or AWS).
Familiar with manufacturing software systems (PLM, MES, LIMS, ERP) and advanced visualization tools; comfortable operating in a 24/7 global operation context.