Support our in supervising inertial sensors during ramp-up and series production and contribute to continuous improvement through data evaluation, advanced analytics, statistics and failure analysis using Python-based toolchains * Experience: Strong experience in Python for data analysis, including libraries such as NumPy, PySpark, scikit-learn, pandas or similar; exposure to statistics, data science and data engineering practices including data preprocessing, feature extraction and ETL workflows; familiarity with version control tools (Git, GitHub and/or Bitbucket) is required; first knowledge of MEMS sensors, BI tools or C programming is a plus
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