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2 data warehouse jobs found in Waiblingen

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Artificial Intelligence  (2) Software Engineering  (2) Data Warehouse  (2) Data Engineering  (1) Machine Learning  (1)
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Full time  (2)
ANDREAS STIHL AG & Co. KG
08/07/2026
Full time
Internship in Data Analytics & Machine Learning for Product Usage Data
ANDREAS STIHL AG & Co. KG Waiblingen, Germany
This is your role: You will develop analyses for measurement data to better understand the application profiles of individual machines, machine groups, and fleets. To do this, you will analyze and structure test data from our STIHL equipment. You will create and evaluate machine learning models for pattern recognition, classification, and statistical analysis of test data. You will support the development of AI agents that specifically analyze measurement data and answer relevant questions about application profiles. You will document your analytical approaches, models, and results transparently for the further development of our data analysis processes. What we are looking for: Currently enrolled in a degree program in Business Informatics, Data Science, or a related field. Initial practical experience with Databricks is advantageous. Good knowledge of Python and initial experience with machine learning libraries such as Scikit-learn or similar tools. Strong...
TE Connectivity
03/07/2026
Full time
Project Manager AI Business Solutions (m/f/d)
TE Connectivity 71334 Waiblingen, Germany
Drive Digital Transformation and AI Adoption As a Project Manager AI Business Solutions, you will lead the identification, prioritization, and implementation of AI-driven and digital transformation initiatives across the organization. Acting as the interface between business functions and technology, you will analyze processes, identify optimization opportunities, and develop scalable solutions that create measurable business value. This role combines project management expertise, business process understanding, analytical capabilities, and a strong interest in AI and digital technologies. Job Requirements Identify, evaluate, and prioritize AI, automation, and digital transformation opportunities across business functions Analyze existing business processes and recommend improvements to increase efficiency, quality, and scalability Translate business requirements into structured project plans, solution concepts, and implementation...
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