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Robert Bosch Venture Capital

Venture capital funding deep tech startups

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBraga, PortugalNo salary listed

About the Job

Requirements

  • An 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 feature engineering, model evaluation, hyperparameter tuning, and model explainability techniques.
  • 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.
  • Proficiency in Python and good knowledge of SQL.
  • Understanding of MLOps concepts, including model versioning, testing, reproducibility, continuous integration and continuous delivery, and monitoring.
  • Experience working with structured, semi-structured, and time-series data.
  • Fluent written and spoken English.

Responsibilities

  • Transform complex engineering and production challenges into data-driven solutions that create measurable business value.
  • Analyse manufacturing data to uncover patterns, identify root causes, and drive process improvements.
  • Develop and validate artificial intelligence and machine learning models and advanced analytics solutions for quality improvement, process optimization, anomaly detection, root cause analysis, predictive maintenance, failure prediction, productivity and yield improvement, process stability monitoring, and decision support for engineering and manufacturing teams.
  • Collaborate with Process Experts, Technology Development Engineers, Data Analysts, Manufacturing Execution Systems and Programmable Logic Controller specialists, Data Engineers, MLOps teams, IT professionals, and business stakeholders to ensure solutions are scalable, explainable, and aligned with operational needs.
  • Contribute throughout the solution lifecycle, from problem definition and data exploration to model development, validation, deployment support, and continuous improvement.
  • Help standardize and reuse analytical methods, models, and best practices across projects and locations.

Desired Qualifications

  • Exposure to manufacturing, process development, industrialization, quality improvement, or equipment-related analytics.
  • Familiarity with deep learning approaches.
  • 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.
  • Experience with cloud-based artificial intelligence platforms, preferably Databricks.
  • Knowledge of APIs, containers, and deployment concepts.
  • Familiarity with manufacturing systems and data sources such as Manufacturing Execution Systems, Programmable Logic Controllers, Supervisory Control and Data Acquisition systems, Historian systems, test systems, or production databases.
  • Understanding of manufacturing key performance indicators such as overall equipment effectiveness, yield, scrap, downtime, cycle time, rework, and process capability.

About the Company

Robert Bosch Venture Capital

Venture capital funding deep tech startups

RBVC (Robert Bosch Venture Capital) is a global venture capital firm that backs early-stage deep tech startups in areas like energy efficiency, medical devices, and virtual/augmented reality. It supports companies with funding and access to Bosch’s network and resources to help them scale and bring innovations to market. Unlike traditional VCs, RBVC may purchase solutions for a proof-of-concept while allowing startups to keep their intellectual property, which speeds up development and lowers upfront costs. The firm earns money through equity investments and the eventual success of its portfolio. RBVC’s goal is to accelerate technological advances across multiple industries by connecting startups with Bosch’s ecosystem, customers (from medical centers to data centers), and global reach.

Company size
201-500
Company stage
Not listed
Total funding
$3.8B
Headquarters
Frankfurt, Germany
Founded
2007

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