Master Thesis Student Data Science Preventative Service
Core
Support the Service organization in building the foundation for implementing preventive and predictive maintenance measures by analyzing service, customer, and device data to identify patterns and predict downtime.
Role type
Master Thesis Student Data Scientist (Preventative Service)
Builds
Data-driven models and insights for predictive maintenance of microscopes
Domain
Life sciences, diagnostics, biotechnology, microscopy, AI-based image analysis
Deliverable
production ML models
Required skills
data analysis, pattern recognition, data correlation, predictive modeling, stakeholder collaboration
Preferred skills
none stated
Technologies
none stated
Responsibilities
Investigate, analyze, and correlate available service, customer, and device data to identify relevant patterns and relationships; Derive data-driven opportunities to predict and prevent customer downtime caused by microscope defects; Collaborate closely with the Service AI teams, global service specialists, and relevant stakeholders such as Research and Development.
Seniority
Master's student (Thesis)