Tagcor

Data Scientist

Strategic Leadership:
- Define and implement the data science roadmap aligned with organizational goals in pharmaceutical manufacturing.
- Identify high-impact areas for applying data science in process optimization, supply chain management, quality control, and regulatory compliance.
Advanced Analytics and Modeling:
- Develop and deploy machine learning models and advanced statistical techniques to optimize manufacturing processes.
- Analyze real-time data from manufacturing systems to predict equipment failures, improve yield, and reduce downtime.
Collaboration and Stakeholder Engagement:
- Partner with manufacturing, quality assurance, and IT teams to design data-driven solutions.
- Translate complex data insights into actionable recommendations for both technical and non-technical stakeholders.
- Ensure alignment of data science initiatives with regulatory requirements and industry best practices.
Team Development and Mentorship:
- Lead, mentor, and inspire a team of data scientists, data engineers, and analysts.
- Foster a culture of innovation, collaboration, and continuous learning.
Data Governance and Compliance:
- Ensure data integrity, security, and compliance with pharmaceutical regulations (e.g., FDA, EMA, GxP).
- Establish best practices for data management, model validation, and documentation.