Data Scientist (f/m/div.)

Joinimagine

Braga

Híbrido

EUR 45 000 - 65 000

Tempo integral

Há 11 dias

Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Health insurance

Hybrid work system

Free transport from Porto

Canteen

Flexible benefits platform

Resumo da oferta

Bosch Car Multimedia, S.A. is seeking a Data Scientist to transform complex manufacturing challenges into data-driven solutions that deliver measurable business value.

You will work at the intersection of AI, ML and industrial analytics to analyze data, uncover patterns, identify root causes and drive improvements across manufacturing environments. You will develop and validate AI/ML models for use cases such as quality improvement, anomaly detection, predictive maintenance and productivity

Qualificações

MSc or PhD in Data Science, AI, ML, CS, Math, Stats, Engineering, Physics or related field.
Experience building ML/AI/Advanced Analytics solutions in industrial/engineering environments.
End-to-end DS projects from data prep to model deployment.
Exposure to manufacturing analytics is a plus.

Responsabilidades

Transform complex manufacturing challenges into data-driven solutions with measurable business impact.
Analyze data to uncover patterns, root causes and drive process improvements.
Develop and validate AI/ML models for QA, anomaly detection, predictive maintenance and productivity gains.
Collaborate with cross-functional teams to ensure scalable, explainable solutions across locations.

Conhecimentos

Data science

Machine learning

Industrial analytics

Python

SQL

MLOps

Communication

Formação académica

MSc or PhD in Data Science / AI / related field

Ferramentas

Python

SQL

Pandas

NumPy

Scikit-learn

PyTorch / TensorFlow

Git

Databricks

Descrição da oferta de emprego

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

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 in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

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.

Working at the intersection of Artificial Intelligence, Machine Learning and Industrial Analytics, you will analyse manufacturing data to uncover patterns, identify root causes and drive process improvements. Your insights will support smarter decisions, enhance product quality and increase operational efficiency across manufacturing environments.

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
Decision support for engineering and manufacturing teams

As part of a multidisciplinary team, you will collaborate closely with Process Experts, Technology Development Engineers, Data Analysts, MES/PLC specialists, Data Engineers, MLOps teams, IT professionals and business stakeholders to ensure solutions are scalable, explainable and aligned with real operational needs.

You will contribute throughout the entire solution lifecycle, from problem definition and data exploration to model development, validation, deployment support and continuous improvement. In addition, 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.

Qualifications

What distinguishes you:

Education

MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Statistics, Engineering, Physics or a related field.
Academic or professional background in machine learning, statistics, optimization or data-driven problem solving.

Experience

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-how

1. Machine Learning & Advanced Analytics

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.
Familiarity with deep learning approaches is a plus.

2. Statistics & Experimental Methods

Knowledge 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 Tools

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.

4. MLOps & Industrial Deployment

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.

5. Industrial Data & Manufacturing Systems

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.

Languages

Fluent English, written and spoken.

Working Style and Methods

Structured 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.

Personality

Curious 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 Information

Work #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