Senior Data Science Engineer I

About the Role
The Manufacturing Sciences (MS) Senior Data Science Engineer I manages Continuous Process Verification (CPV) activities, including routine evaluation, signal escalation, cross-functional meetings, statistical analyses, and Product Quality Reviews (APQR, YBPR). Supports technical management of GxP and non-GxP systems (e.g., Statistica, Spotfire, SIMCA), ensures data integrity/usability via data stewardship and engineering solutions, and modifies/maintains Statistica workspaces.

How you will contribute
- Lead CPV initiatives (APQR, PQR, YBPR) and cross-functional meetings
- Perform statistical analyses; evaluate control limits and monitoring strategy
- Act as SME for Statistical Process Control (SPC)
- Provide data stewardship; execute data science/engineering solutions to automate GxP and non-GxP activities
- Drive digital projects; manage Statistica administrator activities (end users, automations, workspaces)
- Support dashboard requests; provide statistical/regulatory inspection support

What you bring to Takeda
- BS in engineering/biological sciences/business (life sciences operations) + 5 years experience, or MS + 3 years in GMP/GxP production/manufacturing (e.g., ERP/MES)
- Knowledge of manufacturing operations; SPC/statistical methods; GxP software validation and data governance
- Proficient in Python or R; data mining/ML/statistical modeling; multivariate modeling (PCA/PLS, OPLS, discriminant analysis)
- Experience with tools/platforms (e.g., Statistica, Spotfire, SIMCA, Discoverant, JMP, Databricks/Qlik/Tableau/PowerBI/AWS)
- Preferred: working in commercial manufacturing facility; GxP experience
- Required: prior project management implementing similar systems/programs

Important Considerations
- Occasionally travel (<10%).

Application instructions
- Apply via the “Apply” button.