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Data Scientist - Process Analytics & Data Intelligence Expert(m/w/x)
Developing multivariate models and dashboards for process optimization in global life sciences operations. Comfort in operational and regulated environments essential. Relocation assistance.
Requirements
- Focus on process behavior and cause-effect
- Comfort with data and operational decision-making
- Clear communication of complex analyses
- Ownership from analysis to recommendation
- Comfort in operational and regulated environments
- Experience in data or process analytics
- Expertise in MVDA and statistical analysis
- Practical experience with analytics tools
- Experience building operational dashboards
- Ability to work with time-series data
- Understanding of manufacturing or operational workflows
- Experience in biopharma or regulated environments
- Degree in technical field or equivalent
Tasks
- Develop advanced multivariate and predictive models
- Maintain statistical models for operational use
- Build dashboards to visualize process performance
- Analyze process trends and operational bottlenecks
- Identify root causes using data science techniques
- Translate insights into actionable team recommendations
- Collaborate with data engineering and MSAT teams
- Ensure analytics use consistent and trusted data
- Refine analytics products based on operational feedback
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SIMCA
- Seeq
- Statistica
- Python
Benefits
Other Benefits
- Relocation assistance
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Data Scientist - Process Analytics & Data Intelligence Expert(m/w/x)
Developing multivariate models and dashboards for process optimization in global life sciences operations. Comfort in operational and regulated environments essential. Relocation assistance.
Requirements
- Focus on process behavior and cause-effect
- Comfort with data and operational decision-making
- Clear communication of complex analyses
- Ownership from analysis to recommendation
- Comfort in operational and regulated environments
- Experience in data or process analytics
- Expertise in MVDA and statistical analysis
- Practical experience with analytics tools
- Experience building operational dashboards
- Ability to work with time-series data
- Understanding of manufacturing or operational workflows
- Experience in biopharma or regulated environments
- Degree in technical field or equivalent
Tasks
- Develop advanced multivariate and predictive models
- Maintain statistical models for operational use
- Build dashboards to visualize process performance
- Analyze process trends and operational bottlenecks
- Identify root causes using data science techniques
- Translate insights into actionable team recommendations
- Collaborate with data engineering and MSAT teams
- Ensure analytics use consistent and trusted data
- Refine analytics products based on operational feedback
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SIMCA
- Seeq
- Statistica
- Python
Benefits
Other Benefits
- Relocation assistance
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Lonza
Industry
Science
Description
Lonza is a global leader in life sciences, committed to improving lives through innovative solutions and ethical practices.
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