21 set - Italia
Hitachi Automotive Systems Americas
Location: Naples, Campania, Italy
Job ID: R0121618
Date Posted: 2026-07-23
Company Name: Hitachi Rail S.p.A.
Profession (Job Category): Other
Job Schedule: Tempo pieno
Remote: No
About Us
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there’s something for everyone to get stuck into. And that’s where you come in.
Job Description
Hitachi Rail is looking for an enthusiastic self-motivated DATASCIENTIST who thrives in a fast-paced environment. The successful candidate is comfortable performing a wide range of tasks from administrative to strategic. The position is based in NAPLES, IT
Accountabilities
The Data Scientist will improve service quality and equipment reliability by developing tools and systems for improving workflows and optimising maintenance processes using suitable practices,
Reliability Centred Maintenance (RCM), Condition Base Maintenance (CBM) methodology and Data Science Techniques. The Data Scientist will play a critical role in connecting field operations with the maintenance organisation, helping minimise downtime and failure rates and maximize train operation.
Competencies
- Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application
- Develop prognostic algorithms, principles based on its logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenance
- Develop models for telemetry/diagnostic streams (e.g., anomaly detection, forecasting, survival/RUL) in Python and SQL, orchestrated on Kubernetes with Kubeflow Pipelines.
- Analyse diagnostics and maintenance data and create operational dashboards (e.g., Power BI, Grafana) to support maintainers and engineers
- Monitor pr
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