Scientist jobs | Chakrie

and experiments with measurable business impactA proactive, self-starting mindset — you own a domain end-to-end and care about pricing, forecasting, and e-commerce dynamicsStrong stakeholder management and comfort presenting to and influencing senior leadership

Deadline:26 Oct 2026

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.Exposure to manufacturing, process development, industrialization, quality improvement or equipment-related analytics is considered an advantage.Know-how1. Machine Learning & Advanced AnalyticsKnowledge 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.Familiarity with deep learning approaches is a plus.2. Statistics & Experimental MethodsKnowledge of statistical analysis, probability and experimental data analysis.Experience with hypothesis testing, regression analysis, statistical significance and data interpretation.Understanding of process variability, capability analysis, performance indicators and Design of Experiments (DoE).3. Programming & Data Science ToolsProficiency 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.4. MLOps & Industrial DeploymentUnderstanding 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.5. Industrial Data & Manufacturing SystemsExperience 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.LanguagesFluent English, written and spoken.Working Style and MethodsStructured and analytical approach to problem-solving.Ability to transform complex challenges into practical, scalable solutions.Strong collaboration skills with both technical and non-technical stakeholders.Clear communication skills and ability to present analytical insights in an actionable way.Strong focus on quality, reusability and continuous improvement.PersonalityCurious and eager to learn new technologies and methodologies.Proactive, collaborative and solution-oriented mindset.Strong sense of ownership and accountability.Passion for data, innovation and making a tangible impact in industrial environments.Additional InformationWork #LikeABosch includes:⚖️ 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

Deadline:26 Oct 2026

Browse Jobs

Find the right job faster with smart matching

Find your next job