Jobbet "Reliability Data Scientist" er udløbet.
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SiemensGamesa has a vision for renewable energy: we believe in the power of nature and technology. Help us to be ready to face the energy challenges of tomorrow and make a green footprint – join the team in creating a better future for us on our planet.

We focus on hiring the best people, wherever they may be in the world. We pride ourselves on the flexibility we offer to our employees and are committed to building a workforce that can grow with the company. SiemensGamesa is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

In our culture of trust, we focus on empowerment, diversity and continuous learning. Valuing our people is what makes us one global team, with our colleagues’ safety at the heart of our organization.

How to contribute to our vision
For our Reliability Modelling team within the Risk Modeling & Assessment (RM&A) department, we are looking for a skilled and dedicated Reliability Data Scientist for building, maintaining and improving statistical reliability models for SGRE products. RM&A has the responsibility to assess our products’ reliability and has a significant business impact.

You will be part of a team of highly skilled quantitative experts and you will have interfaces to all major business functions, from Product Development, Product Portfolio Management to Operations and Sales & Projects. You will be involved in technical evaluations on product component level, as well in discussions on business strategies and customer requirements. This will give you the opportunity to gain deep technical insight combined with overall business understanding.

Specific job tasks in this role will cover:

  • Analyze lifetime data and develop predictive statistical lifetime models for wind turbine components
  • Support the development and optimization of new products with insights from reliability and product risk assessments
  • Communicate changes and updates in reliability models to relevant stakeholders
  • Support management of warranty claims and root cause analysis
  • Contribute to company digitalization e.g. by development of user apps

What you need to make a difference
Passion for renewable energy and a sense for the importance to lead the change.  We are looking for you, who wants to make real what matters and who wants to change to world to renewable energy.

The ideal candidate holds an academic degree within statistics, mathematics, physics or similar in combination with thorough practical experience with

  • Applied mathematics or statistics, preferably within reliability modelling
  • Working in a programming language e.g. R, MATLAB or similar
  • Implementing your skills in a fast-developing business
  • Team work, close collaboration and a supportive mind set

You have a high professional competency and you have a desire to develop your skills. You have good collaboration skills and you can manage to act in different cultural contexts. To thrive in this position, you must have a strong result- and customer-oriented approach.

In return of your commitment we offer you…
Become a part of our mission for sustainability: Clean energy for generations to come. We are a global team of diverse colleagues who share a passion for renewable energy and have a culture of trust and empowerment to make our own ideas a reality. We focus on personal and professional development to grow internally within our organization. Siemens Gamesa offers a wide variety of benefits such as flexible working hours as well as home-office possibility for many colleagues, employer-funded pension, attractive remuneration package (fixed/variable) and local benefits such as subsidized lunch, employee discounts and much more.

Empowering our people

How do you imagine the future?

Our global team is on the front line of tackling the climate crisis, reducing carbon emissions – the greatest challenge we face.


Other information
For further information regarding the recruitment process, please contact recruiting team via Nicki Møller on  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.

Please apply in English via the apply button with your CV and a motivational letter

For more information about working in Denmark, please see this link:

Please write in your application that you've seen the job at Jobfinder.