Senior Data Scientist – Predictive Maintenance & ML (Hybrid)

Robert Bosch Group; Ovar; Híbrido; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Hybrid work system

Free parking lot

Canteen

Training opportunities

Resumo da oferta

Robert Bosch Group in Ovar is seeking an experienced Senior Data Scientist to join a P2030 project starting Q1 2025. The role focuses on organizing and interpreting data, developing predictive maintenance models, and deploying ML solutions across production environments.

Requirements include a MSc/PhD in Data Science and 5+ years in data science, with fluency in English and strong Python/ML skills. The position offers hybrid work with two days in the office and opportunities for growth in a

Qualificações

• Minimum 5 years in data science or analytics
• Experience building predictive maintenance models
• Fluent in English

Responsabilidades

• Conduct in-depth data analysis and modelling
• Provide insights to drive operations and decisions
• Design and optimize ML models for predictive maintenance
• Support deployment of ML models into production
• Monitor data pipelines and take corrective actions
• Collaborate with cross-functional teams to extract insights
• Present findings to technical and non-technical stakeholders
• Mentor junior team members and share best practices

Conhecimentos

Python

SQL

ML/AI

EDA

Azure

Docker

MLOps

English

Formação académica

MSc or PhD in Data Science

Ferramentas

MongoDB

Azure

Docker

Git

Descrição da oferta de emprego

Robert Bosch Group in Ovar is seeking an experienced Senior Data Scientist to join a P2030 project starting Q1 2025. The role focuses on organizing and interpreting data, developing predictive maintenance models, and deploying ML solutions across production environments.

Requirements include a MSc/PhD in Data Science and 5+ years in data science, with fluency in English and strong Python/ML skills. The position offers hybrid work with two days in the office and opportunities for growth in a