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2 director data science jobs found in Stuttgart

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Stuttgart Full time director data science
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Data Science  (2) Data Analytics  (2) Data Management  (2) Biostatistics  (2) Machine Learning  (1) DevOps  (1)
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Booz Allen Hamilton
09/04/2026
Full time
Financial Data Analyst
Booz Allen Hamilton Curiestraße 2, 70563 Stuttgart-Vaihingen, Germany
Financial Data Analyst The Opportunity   : As a Financial Data Analyst, you'll bring your technical, analytical, and operational support expertise to work alongside thought leaders in data analytics, digital engineering, and financial management on projects supporting operations across EUCOM and AFRICOM Areas of Responsibility. You'll use your skills and expertise to integrate, analyze, and improve financial data processes and systems that enable mission execution. Work with us to identify inefficiencies, improve fiscal data workflows, and deliver actionable insights that enhance decision-making, continuity, and operational effectiveness across complex defense financial systems. This position supports a mission-essential financial data environment and is structured to encompass two skill sets under one role. These include process and change management and program support—driving process improvement, supporting continuity, developing SOPs, and helping stabilize and...
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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