Otto Aviation is a pioneering company focused on revolutionizing aircraft design through the development of transonic super-laminar (TSL) aircraft. By leveraging advanced computational fluid dynamics and ultra-high precision manufacturing techniques, Otto Aviation's innovative designs achieve significant improvements in efficiency and performance, notably reducing drag and fuel consumption. Their flagship model, the Celera 800, showcases a 60% reduction in fuel burn and a 90% decrease in carbon emissions, making it a sustainable alternative in aviation.
March 12
Otto Aviation is a pioneering company focused on revolutionizing aircraft design through the development of transonic super-laminar (TSL) aircraft. By leveraging advanced computational fluid dynamics and ultra-high precision manufacturing techniques, Otto Aviation's innovative designs achieve significant improvements in efficiency and performance, notably reducing drag and fuel consumption. Their flagship model, the Celera 800, showcases a 60% reduction in fuel burn and a 90% decrease in carbon emissions, making it a sustainable alternative in aviation.
β’ OTTO is developing the worldβs first fifth-generation business jet. β’ Designed for sustainability through advanced super-laminar aerodynamics and high-precision composites. β’ Flight tests validate a dramatic reduction in fuel burn and improve cabin comfort. β’ Leads data strategy and governance, ensuring accuracy and compliance. β’ Develops and implements data pipelines and integrations with enterprise systems. β’ Manages analytics solutions, including predictive modeling and real-time dashboards. β’ Drives collaboration with cross-functional teams for actionable insights.
⒠10+ years of experience in data analytics, data engineering, or a related field. ⒠Proven experience designing and managing scalable data architectures and analytics platforms. ⒠Hands-on experience integrating data from systems such as Dassault Systèmes 3DEXPERIENCE, ERP platforms, and IoT sensors. ⒠Expertise in data integration tools (e.g., Talend, Informatica) and ETL pipelines. ⒠Proficiency with analytics and visualization platforms such as Tableau, and Python libraries (e.g., Pandas, Matplotlib, Scikit-learn). ⒠Strong knowledge of SQL and cloud platforms (e.g., Azure, AWS, or Google Cloud). ⒠Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or H2O.ai. ⒠Experience in creating APIs and ensuring system interoperability for data exchange.
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