Python Job: Probabilistic Modelling Specialist (f-m-d) Advance

Job added on

Company

Siemens Energy

Location

Berlin - Germany

Job type

Full-Time

Python Job Details

Mid-level Professional
As a member of our global team for enterprise data & advanced analytics, you work on challenging projects from all areas of the energy industry. By combining strategic and business insights with advanced probabilistic solutions, domain know-how, and novel modeling techniques, you develop methodologies and tools for reliability-based decision-making that improve the sustainability and reliability of products, solutions, and services for our customers.

Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation.
Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone.
Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

LET’S TALK ABOUT YOU

Your profile
  • University degree in Computer Science, Mathematics, Physics, Engineering, or related field
  • Excellent analytical skills and profound expertise in statistical modeling (e.g., uncertainty quantification, error analysis, maximum likelihood estimation, random fields)
  • Very good programming skills (e.g., C/C++, Python, R) and a good understanding of numerical simulation and optimization methods
  • Strong customer focus and excellent interpersonal skills, open-minded and willing to learn
  • Ability to effectively collaborate in multidisciplinary, multinational, global teams
  • Fluent in written and spoken English, excellent communication and presentation skills
  • Enthusiastic about data and analytics and driving the use of data across all parts of a business and ecosystem
Your responsibilities
  • Develop new methodologies and tools for reliability-based decision-making along the value chain
  • Work in cross-organizational, multi-disciplinary teams supporting application and implementation of probabilistic modelling, machine learning, optimization
  • Drive the roll-out of probabilistic modelling across the company through knowledge sharing, mentoring, supporting technical trainings
  • Be up to date on latest developments in advanced statistics and data science as well as the respective domains like physics-based modelling to help the business make truly data-driven decisions
  • Collaborate in a partner ecosystem across industry and academia to drive research and leverage know-how in this field
  • Document the developed methods and processes and present results to stakeholders across the organization on a regular basis
LET’S TALK ABOUT US
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. We provide the power to bring heat and light to our cities. We help our customers to save millions of tons of CO2 each year. That way we not only contribute, but actively drive the energy revolution for a better and greener future.

Check out this video to see what we do here! https://bit.ly/3IfnlaR

Within the enterprise team for Advanced Analytics & AI, we develop new methodologies and tools to enable data-driven decision-making along the value chain improving sustainability, reliability, and affordability of our energy solutions across the globe. We provide guidance and direction to the business and drive the strategy for the development of AI technologies within a partner ecosystem across industry and academia.

MORE INSIGHTS
Lucky for us, we are not all the same.

Through diversity, we generate power. We run on inclusion and compassion. Our combined energy is fueled by at least 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability.
Let’s make tomorrow different today!

#LI-JL1
We value equal opportunities and welcome applications from people with disabilities.