Data Scientist
Hybrid · Leiden, South Holland, The Netherlands
Job Summary
Data Scientist role focused on R&D for detecting upcoming failures in rotating electrical machines and reducing unplanned downtime. Responsibilities include developing and validating algorithms for fault detection and trend analysis that scale to production, analyzing large time-series datasets from thousands of industrial assets, evaluating model impact for real-world deployment, collaborating with engineers on deployment/retraining/monitoring requirements, contributing to shared ML frameworks, balancing exploratory research with practical delivery, and communicating analytical findings to diverse audiences. Requires an MSc/PhD in a related field with 3+ years in applied ML/data science, strong Python/git skills, experience deploying models in production, designing interpretable models, rigorous experiment design and validation, and a growth mindset. Offers hybrid/onsite work options in Leiden, NL, with a competitive salary and benefits package, and opportunities for impact in reducing energy waste through data-driven industrial insights.
Required Qualifications
- An MSc or PhD in Artificial Intelligence, Data Science, Computer Science, Software Engineering, or a related field
- 3+ years of experience in applied machine learning or data science
- Proficiency in Python, git and core ML/analysis libraries
- Proven experience applying models to large datasets in production environments and the experiment cycle
- Ability to design interpretable, efficient models that generalize across real-world conditions
- Strong skills in experiment design, metrics definition, and model validation
- Clear, concise communication of analytical findings to technical and non-technical audiences
- Committed to continuous learning and self-development
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.