What we offer: Successful collaboration in one of the world’s largest insurance companies and a Great Place to Work® I cooperation with colleagues within the CE-region I flexible options for mobile working within Austria I top modern office in the ICON TOWER right next to Vienna …
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Identification of new opportunities through advanced data analysis and translation of complex insights into actionable strategies that drive sports betting business value … Minimum of 3 years of professional experience in Data Science, preferably in the sports betting industry
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Österreichisches Verkehrsbüro AG - Berufserfahrung (Junior Level) … Zur Unterstützung unseres Data & Analytics Teams suchen wir eine engagierte Persönlichkeit mit Interesse an Data Science, Reporting und modernen BI-Architekturen
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Vollzeit/Hybrid 2 Tage Homeoffice für unseren Standort Guntramsdorf oder 1020 Wien - ÜBER UNS - Frankstahl steht seit über 140 Jahren für Verlässlichkeit, Leidenschaft und Innovation im Stahlgroßhandel … Auf AWS und Kubernetes läuft auch die Data-Science-Plattform, an der du mitbaust
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Technical Troubleshooting & Maintenance - Provide first-level troubleshooting for instrument and software issues. Liaise with vendor support and coordinate problem resolution. Conduct routine maintenance and monitor instrument performance
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Explain insights, results, and technical concepts clearly to both technical and non-technical stakeholders … At least 2 years of applied data science / machine learning experience, ideally working on real-world problems beyond experimentation
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Explain insights, results, and technical concepts clearly to both technical and non-technical stakeholders … At least 2 years of applied data science / machine learning experience, ideally working on real-world problems beyond experimentation
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Continuous evaluation, adoption, and application of emerging technologies, statistical methodologies, and Machine Learning algorithms … Minimum of 3 years of professional experience in Data Science, preferably in the sports betting industry
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Engineer AI Backends: Design and deploy scalable FastAPI endpoints that handle complex queries and serve data from our Knowledge Graphs to the frontend. * Build Interactive Graph Interfaces: Take proven concepts from Streamlit and re-engineer them into responsive React applications
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