Consultant Data Scientist - Hybrid (Lousado, Portugal)
🚀 About Continental
Continental is a global leader in the automotive industry, with a growing digital presence. Our Supply Chain Information Technology Competence Center serves as the digital backbone for our Tire business, driving innovation and efficiency.
🧠 Our Team
We're a diverse team of technologists, mathematicians, and business professionals, passionate about using cutting-edge technology to optimize our global supply chain. We leverage AI, machine learning, and advanced analytics to predict customer demand and ensure that the 140 million+ tires we sell annually reach the right place at the right time.
🎯 What You'll Do
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Maintain and operate AI solutions on our Data Science Factory (using Python, Java, Kubernetes, Jenkins, Airflow, and the AWS stack).
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Provide IT service to ensure seamless operation of our systems.
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Develop and enhance existing AI solutions to improve performance, accuracy, cost efficiency, and overall supply chain integration.
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Contribute to related IT projects to support our broader digital transformation.
💪 What We're Looking For
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University degree in Information Technology, Mathematics, Statistics, Physics, Economics, Data Science, or a related field.
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Strong programming skills in object-oriented programming languages (Python, Java, R) and experience with CI/CD (Github, Jenkins).
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Proven experience in advanced analytics methods like data mining, predictive analytics, machine learning.
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Proficiency in self-service BI tools like Tableau or Power BI.
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Confident database handling (e.g., PostgreSQL).
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Prior experience in IT projects, ideally with agile/scrum methodologies.
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Knowledge of supply chain management processes (a plus).
- Passion for emerging technologies.
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Professional working proficiency in English (both verbal and written).
🤩 Why Join Continental?
- Be part of a dynamic, international team.
- Enjoy a flexible working model.
- Embrace an agile and collaborative workstyle.
- Benefit from continuous professional training and development opportunities.
Ready to drive with Continental? Apply now!
Job Category: Data Analysis