Intern - Data Science

vor 3 Wochen


Berlin, Deutschland Yara Vollzeit

Responsibilities


The selected candidate will be involved in a project focused on anomaly detection of mechanical production assets. As part of this project, the intern will work on expanding our in-house anomaly detection suite to incorporate machine learning anomaly detection models, including one-class Support Vector Machines (SVM), Isolation Forest, and auto-encoders.

Research and understand various machine learning anomaly detection techniques. Collaborate with the data science team to implement and fine-tune machine learning models within our existing anomaly detection suite. Analyze time-series data from mechanical production assets to identify anomalies and develop solutions for predictive maintenance. Assist in the evaluation and optimization of machine learning models for real-world application in a production environment. Document and present findings and progress reports to the team and stakeholders.

Profile

Currently enrolled in a Bachelor's (at least 4. Semester) or Master's program in Computer Science, Data Analytics, or a related field. Familiarity with machine learning anomaly detection techniques such as one-class SVM, Isolation Forest, and auto-encoders. Strong programming skills in Python and experience with relevant libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Proficiency in handling and analyzing time-series data is highly desirable. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills and ability to effectively present technical concepts to non-technical stakeholders.
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