Description

We are seeking an experienced Senior Data Scientist to join our team in a P2030 project that will start Q1.2025. As a Senior Data Scientist, you will play a crucial role in organizing and interpreting data to inform decision-makers, and leverage your statistical analysis and machine learning expertise to develop predictive maintenance models. Your expertise will contribute to our global mission, leveraging unique and specialized data sets.

Responsibilities:
• Conduct in-depth data analysis, including data mining and predictive modelling.
• Provide insights to drive successful operations and strategic decisions.
• Design, implement, train, evaluate and optimize machine learning models for predictive maintenance.
• Support the deploy of ML models into production.
• Build solutions to monitor performance of the data pipelines deployed and take corrective measures when necessary.
• Work closely with cross-functional teams to understand business requirements and extract valuable insights.
• Communicate findings to technical and non-technical stakeholders through clear and compelling presentations and reports.
• Take part in innovation projects and collaborate closely with academic institutions.
• Ensure ethical practices in algorithm design and data utilization

Qualifications

Experience:
• Minimum of 5 years in a data science or analytics role.

Technical Skills:
• Proficiency in machine learning model development, evaluation, and optimization. o Knowledge of data preprocessing techniques, feature engineering and feature selection methods.
• Ability to conduct exploratory data analysis to uncover patterns, anomalies and valuable insights.
• Experience with CI/CD pipelines and good software development practices, including version control, code organization and testing.
• Proficiency in Python (e.g. NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch, etc.).
• SQL knowledge for data manipulation and querying.
• Able to work with no-relational databases (e.g. MongoDB)
• Experience with Microsoft Azure cloud platform. o Knowledge in MLOps.
• Experience working in an agile (Scrum or Kanban) framework.
• Experience with Linux OS and Docker. o Ability to share knowledge and mentoring junior team members.
• Good analytical skills.
• Eager to work with the newest technologies.
• High initiative and ability to work independently.
• Solution-oriented, pragmatic, with an eye for detail and capable of explaining decisions and results.
• Evangelist of best practices in ML-based software development.
• Good communication skills.
• Experience with anomaly detection and/or predictive maintenance use cases is a plus.
• Fluent in English.

Education:
• MSc or PhD degree in Data Science, Computer Science, Engineering or equivalent.

Additional Info

If you’re a proactive, analytical thinker with a passion for building robust data pipelines, we encourage you to apply!

Hybrid regime - 2 days at the office in Ovar.

Work #LikeABosch includes:

Flexible work conditions | Hybrid work system | Exchange with colleagues around the world | Health insurance and medical office on site (nutrition, psychology, physiotherapy, general clinic) | Training opportunities (p.e., technical training, foreign languages training) & certifications | Access to great discounts in partnerships and Bosch products | Sports and health related activities (gym) | Free parking lot | Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!

#LI-Hybrid

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Bosch unit in Ovar belongs to the Building Technologies division and is focused on bringing solutions to the market that are shaping the smart cities of the future. The company develops and produces innovative solutions for security and communication systems, fire alarms, electronic displays, robotic lawn mower & E-bike components. With about 1.200 employees, its success lies in the highly specialized and innovative team and technological know-how.