Arbejde Data Scientist HERMES unspecified Siemens Gamesa Renewable Energy A/S - jobtilbud
reference: 4883567
documentId: 4883567
connectionPointId: 7
lastModificationDate: 1537952773883
stillingsbetegnelse: Data Scientist HERMES
jobbeskrivelse:
About Siemens Gamesa Renewable Energy
With a worldwide installed capacity of 75 GW, Siemens Gamesa Renewable Energy has a presence in more than 90 countries and a team of 25,000 employees worldwide. Its end-to-end value chain presence encompasses onshore and offshores wind turbines design, manufacturing, installation as well as cutting-edge service solutions. The global headquarters and legal domicile of the company is located in Zamudio, Spain. The company is listed on the Spanish stock exchange.
Siemens Gamesa Renewable Energy
Job ID: 12562
Location: Brande
Organization: Siemens Gamesa Renewable Energy in Denmark
Mode of employment: Full Time
About the position
For our Analysis & Diagnostics team, we are looking for new talented colleagues to join us in developing the next generation digital products, where we are working with Big Data, PCA, Machine Learning and Neural Networks. The Analysis & Diagnostics team is a part of Technology, Service Development and consist of approximately 25 employees in Denmark, Spain and India. In the team, we are working on different projects/platforms like vibration diagnostics, service R&D, predictive model-based analysis, fleet performance and data warehouse. You can learn more about our diagnostic services by watching this short video.
For the part of the Analysis & Diagnostics team in Brande, we are looking for a data scientist to work with AI/ML for detection of blade damages from drone images, as part of the service R&D platform. The drone inspection images enter the data pipeline in AWS, where all the computing is done. The development of the system has passed the POC stage and is now working on optimizing the data flow in AWS, refining the AI/ML algorithms, feedback loops and maturing the system for a production setup.
The job requires skills within SQL, Matlab/Python, AI/ML, AWS/Cloud computing.
What are my responsibilities?
As a Data Scientist, you will be tasked with refining and further development of deep convolution neural network models employing statically machine learning for damage detection, to bring the system into a stabile production setup. With your ability to apply your analytical skills you will develop the next generation AI/ML algorithms for damage detection with a strong focus on minimising false positives. Additionally, you will be responsible for deploying image recognition models in the cloud and build the cloud infrastructure. The project team employ a dev-ops approach and you will help ensure a smooth transition to a stabile production setup in service. In this work you will be in contact with external suppliers and internal stakeholders.
Additionally, your work will cover continuous future development of the platform, i.e. develop models for new failure modes and adaption for future blade versions etc.
What do I need to qualify for this job?
- You have a MSc or PhD degree within the fields of electrical engineering, computer science, mathematics or physics.
- In your career, you have gained experience in statistical analysis and profound knowledge about scientific programming (Python, Matlab, R etc.), preferably from an industrial enterprise.
- You have extensive knowledge about image processing, ML, NN and AI.
- You have an analytical and innovative mindset, and you are not afraid of working with terabytes of data.
- You are highly result-oriented and able to work independently as well as part of a team.
- It comes naturally to you to build and maintain good and rewarding relationships.
- Furthermore, you possess excellent English skills, both orally and written.
In case you have acquired your skills in alternative ways your application is just as well appreciated.
Other information
If you have specific questions about the position please contact the hiring manager Mikkel Wilki Thygesen via phone +45 51673264
For further information regarding the recruitment process, please send the recruiting team an email via hr.dk.pg (at) siemens.com. Please mention the Job ID in the email.
We kindly draw your attention to the fact that this email may NOT be used for sending applications or CVs for evaluation.
Deadline for application: as soon as possible
You may also apply through the following link: http://www.gamesacorp.com/en/human-capital/job-offers/
If you want to know more: https://www.youtube.com/watch?v=pxqC5eFU3Jo&t=8s
numberOfPosts: 1
jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2152
abstractJV_contact_0: Please apply using one of the specified channels
positionTypeCode: directhire
contractTypeCodes_0: fulltime
Arbejdsgiver Navn: Siemens Gamesa Renewable Energy A/S
source: DK-STAR
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