Lead Data Scientist

Farkas Kiss Endre legjobb állása Innio

contact.en@innio.com

Bewerbung fur IT Application Engineer

Levél szövege

Lieber Innio!

Ich möchte mich bei Ihrem Unternehmen als Lead Data Scientist bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Working in the Data Science Team of the INNIO Digital organization in strong collaboration with other disciplines (i.e. Research Partners, Controls Engineering, Service, Electrical Engineering and System Design, Mechanical Design, Thermodynamics, local IT departments)Implement complex algorithms and analytics from idea generation over development to product releaseApply advanced methods like machine and deep learning on a huge set of timeseries data combined with multiple data sources and typesValidation of advanced models on INNIO's own developed IoT platform under consideration of lean and efficient codingUse of modern software technologies for advanced analysis of sensor and engine data to find patterns and relationships to the condition of components and the engine (i.e. data mining, machine learning)Provide meaningful documentation for our service department and customers (user manuals, setup instructions, test reports and FAQ's)Continuously communicate with stakeholders in technology/service engineering, service and operations departments to ensure efficient project executionWork on multiple projects simultaneously, under the supervision and guidance of senior engineers
Qualifikationen

Strong analytic and problem-solving skillsAffinity to design analytics on a high quality and maintainability level

Erfahrung

Experience in statistical and analytical algorithm design and technologies (Python, R, MATLAB, etc.)Working experience in software development and related processes (Agile)Experience in development of scalable algorithms or analyticsExperience with machine learning techniquesNice to have:Familiarity in dealing with large time series data sets (Big Data)Experience in additional programming languages (Java, JavaScript)Experience in consuming REST and GraphQL APIsEngineering experience with combustion enginesExperience with cloud-based, containerized microservice architectures (Kubernetes, Docker)

Ausbildung

Bachelors or Master's degree (or equivalent) in Computer Science, Mathematics or other related areas in engineering