Senior Data Scientist (f/m/div.)

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 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. 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