Bosch, Internship in Data Science

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During your assignment you will delve deeply into the workings of industrial machines, analyzing failure modes and performance characteristics to develop a comprehensive understanding of their behavior.
Your area of responsibility includes cleaning, processing, and constructing meaningful features from multivariate sensor data sets to create an excellent basis for advanced modeling and analysis.
Take an active role in visualizing and analyzing complex data sets using time series charts, correlation matrices, and other exploratory techniques to uncover hidden relationships and interactions between key features.
Furthermore you will develop hybrid algorithms that combine domain expertise with state-of-the-art analytics, AI, and machine learning methods to generate actionable insights for predictive maintenance and system optimization from digital twin data.
From the first day you will accurately evaluate and validate models using labeled data sets and define performance baselines using relevant metrics such as accuracy, precision, and recall.
You work on creating scalable templates and integrating them into our digital twin platform to optimize deployment and ensure repeatability across different plants and customers.
Last but not least you will document methods, results, and technical workflows in a clear and structured manner to ensure knowledge transfer and the reproducibility of your solutions.

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