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Data Modeling Expert
2 months ago
We are seeking a highly skilled Data Modeling Expert to join our team at Siemens Energy. As a key member of our organization, you will play a crucial role in developing and implementing advanced statistical models to drive business growth and improve decision-making.
Key Responsibilities- Advanced Degree Requirements
- We are looking for individuals with an Advanced/Masters degree in a relevant field such as Computer Science, Mathematics, Physics, Engineering, or a related discipline. A PhD is considered a significant advantage.
- Hands-on Experience
- You will need to have hands-on experience in numerical simulations, data science, or machine learning, with a strong focus on statistical modeling.
- Analytical and Programming Skills
- Excellent analytical skills and profound expertise in statistical modeling, including uncertainty quantification, failure analysis, and maximum likelihood estimation.
- Experience with programming languages such as Python, C/C++, or R is essential.
- Team Player and Communication Skills
- You will be working in a multi-disciplinary team environment, requiring excellent communication and teamwork skills.
- A strong customer focus and ability to navigate a global and multicultural environment are essential.
- Continuous Learning and Improvement
- You will be expected to be open-minded and willing to learn and constantly improve your skills to stay up-to-date with industry developments.
- Passion for Data and Analytics
- A passion for data and analytics, with a drive to deliver data value across all parts of the organization and ecosystem.
- Language Skills
- Excellent writing and communication skills in English are required, with knowledge of any other language being a plus.
As a Data Modeling Expert at Siemens Energy, you will have the opportunity to work on challenging projects, collaborate with a talented team, and contribute to the growth and success of our organization. We offer a competitive compensation package, comprehensive benefits, and opportunities for professional development and growth.