Everllence
data scientist - industrial systems
Sep 16, 2026 · Everllence
Πειραιάς·Sep 16, 2026
ΠειραιάςHybridΝαυτιλίαPermanentFull Time
JOBILY AI SUMMARY
What you'll do
- Combine engineering and domain knowledge with operational data to create valuable products
- Identify and frame use cases for troubleshooting, performance optimization, and decision support
- Explore data using statistical and physics-informed methods to distinguish system behavior
- Develop algorithms and models for diagnostics, anomaly detection, and performance insights
- Work with developers to convert analytical models into maintainable production software for edge deployment
- Collaborate with domain experts to validate findings and identify new opportunities
- Ensure data quality, validation, traceability, and communicate uncertainty effectively
- Leverage Artificial Intelligence and Machine Learning to add value for users and products
- Translate complex analytical findings into practical, actionable insights
Key requirements
- Data analysis with statistical, signal-processing, and physics-informed methods
- Algorithm development and diagnostic modeling including anomaly detection
- Programming skills in Python and C# for developing maintainable logic
- Ensuring data quality, validation, traceability, and communicating uncertainty
- Edge computing deployment in operational environments
- Collaboration skills and proficiency in English
- Engineeringpreferred
Benefits
- Flexible working arrangements, including the possibility to work from home 2-3 days per week after the initial onboarding period of three months, subject to manager agreement and business requirements.
- Attractive compensation package.
- Continuous training opportunities and opportunities for professional growth and advancement.
About the job
As a Data Scientist - Engineering Applications, you will play a key role in transforming operational and engineering data into actionable insights and valuable digital products. You will work closely with domain experts, software developers, and product stakeholders to identify opportunities…

