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2 data science jobs found in Ammerbuch

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Wörwag Pharma GmbH & Co.KG
11/03/2026
Full time
Teamlead Supply Chain Risk, Data & Governance (m/w/d)
Wörwag Pharma GmbH & Co.KG Flugfeld-Allee 24, Böblingen, Germany
Böblingen from now on From a local pharmacy to an international pharmaceutical company: That's us, Wörwag Pharma. Our mission: Together for a healthy life. We help prevent and treat lifestyle diseases. Day after day, we are committed to giving everyone the chance for a healthy life – and have been for more than 50 years! Would you like to actively support us? Then apply now, because we are looking for you as soon as possible as Teamlead Supply Chain Risk, Data & Governance (m/w/d) This is what you can expect Risk Management Development and management of the global supply chain risk management framework (strategic, operational, financial, geopolitical) Conducting risk analyses, scenario planning and business continuity management (BCM) Establishment of risk indicators (KPIs, heatmaps, dashboards) for transparent management and escalation Close collaboration with purchasing, logistics, production and commercial departments...
Bosch Gruppe
03/04/2026
Full time
Mandatory Internship Data Analysis & ML Model Research for Automotive Systems
Bosch Gruppe Stuttgart, Weilimdorf, Germany
Tasks This internship is the foundational first phase of an innovative project aimed at developing a machine learning-based "Load Profile Generator" for vehicle E/E powernet simulations. Your mission is to analyze our rich datasets of vehicle operational data and conduct the critical research needed to select the optimal ML architecture for this task. The results of your internship will directly inform and enable a subsequent Master's thesis project focused on model implementation and integration. During your internship you will dive deep into large time-series datasets from vehicle measurements to understand underlying patterns, distributions, and characteristics of vehicle power consumption. Furthermore you will develop as well as implement robust scripts and workflows for cleaning, transforming, and preparing the raw data into a structured format suitable for ML model training. You will identify and create meaningful features from the time-series data that...
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