Data Scientist

Role Overview

As a Data Scientist, you will help shape the future of manufacturing by transforming complex engineering and production challenges into data-driven solutions that create measurable business value. You will work at the intersection of Artificial Intelligence, Machine Learning and Industrial Analytics, analysing manufacturing data to uncover patterns, identify root causes and drive process improvements.

What You Will Do

You will develop and validate AI/ML models and advanced analytics solutions for use cases such as quality improvement and process optimization, anomaly detection and root cause analysis, predictive maintenance and failure prediction, productivity and yield improvement, process stability monitoring, and decision support for engineering and manufacturing teams.

Why It Might Be a Fit

You will contribute throughout the entire solution lifecycle, from problem definition and data exploration to model development, validation, deployment support and continuous improvement. You will help standardize and reuse analytical methods, models and best practices across projects and locations, supporting Bosch’s digital transformation journey and Industry 4.0 initiatives.

Requirements

• MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Statistics, Engineering, Physics or a related field.
• Experience developing Machine Learning, Artificial Intelligence or Advanced Analytics solutions.
• Hands-on experience working with complex datasets in industrial, engineering, manufacturing or technical environments.
• Experience contributing to end-to-end data science projects, including data preparation, model development, validation and deployment.
• Knowledge of machine learning methods, including regression, classification, clustering, anomaly detection, forecasting and optimization.
• Experience applying techniques such as feature engineering, model evaluation, hyperparameter tuning and model explainability.
• Proficiency in Python and good knowledge of SQL.
• Experience with data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn, Plotly, PyTorch or TensorFlow.
• Familiarity with Git and collaborative software development practices.
• Understanding of MLOps concepts, including model versioning, testing, reproducibility, CI/CD and monitoring.
• Experience with cloud-based AI platforms, preferably Databricks, is an advantage.
• Knowledge of APIs, containers and deployment concepts is beneficial.
• Experience working with structured, semi-structured and time-series data.
• Familiarity with manufacturing systems and data sources such as MES, PLC, SCADA, Historian systems, test systems or production databases.
• Understanding of manufacturing KPIs such as OEE, yield, scrap, downtime, cycle time, rework and process capability is an advantage.

Benefits

• Flexible work conditions
• Hybrid work system
• Exchange with colleagues around the world
• Health insurance
• Medical office (psychology and general clinic) & Social Services Office on site
• Training opportunities (p.e., technical training, foreign languages training) & certifications
• Opportunities for career progression and continuous professional development
• Access to great discounts in partnerships and Bosch products
• Sports and health related activities
• Great access to public transports
• Free transport from Porto
• Flexible benefits platform
• Free parking lot
• Canteen