Siemens Energy
“Energizamos a sociedade” apoiando nossos clientes na transição para um mundo mais sustentável, com base em tecnologias inovadoras e em nossa capacidade de transformar ideias em realidade. Com quase 100.000 funcionários em todo o mundo, moldamos os sistemas de energia atuais e futuros.
Gas Services
Geração de energia de baixa emissão por meio de tecnologia, soluções, serviços e descarbonização. Aprimoramos e inovamos o fornecimento de energia convencional e renovável e aproveitamos ao máximo nossas fontes de energia para apoiar a transição energética.
Sobre a função
Local
Alemanha
Berlin
Berlin
- País: Hungria
- Estado/Província/Condado: Budapest
- Cidade: Budapest
remoto ou presencial
Híbrido (remoto/presencial)
Empresa
Siemens Energy Global GmbH & Co. KG
Organização
Gas Services
Unidade de negócio
Central
Período integral/meio período
Full-time
Nível de experiência
Mid-level Professional
A Snapshot of Your Day
As a Manufacturing Data Scientist (f/m/d) - Blades & Vanes, you will transform complex manufacturing, inspection and IoT data into actionable insights that drive quality, efficiency, and innovation in our turbine components production. You will work closely with engineering, operations and quality teams, building advanced analytics models and automation solutions that enable data-driven decision-making across the blades and vanes value chain. Your work will support process optimization, defect reduction and yield improvement — making a direct impact on our manufacturing excellence.
How You’ll Make an Impact - Collection, consolidation, and integration of data from SAP, MES, PLM, inspection systems, and IoT sensors
- Ensuring data integrity, consistency, and compliance with Siemens Energy governance standards
- Development and maintenance of structured datasets and analytical models for production use cases, including process capability studies and statistical quality control
- Application of advanced data science methods for trend identification, anomaly detection, and root cause analysis to support continuous quality improvement
- Design and deployment of analytics solutions using Python, R, and BI tools (Power BI, Tableau), including automated reporting and real‑time dashboards
- Collaboration with engineering and operations teams for the implementation of data‑driven solutions and the translation of insights into process improvement and cost optimization
What You Bring- Degree in Data Science, Statistics, Engineering, or a related technical discipline
- Several years of hands‑on experience in advanced analytics within a manufacturing environment
- Proven experience in statistical analysis methods and tools (Python, R, SAS) and BI platform expertise (Tableau, Power BI, Alteryx)
- Familiarity with SAP data structures and manufacturing IT systems
- Understanding of blades and vanes manufacturing processes, including quality control and inspection workflows
- Ability to work effectively in Agile, cross‑functional teams and clear communication with technical and business stakeholders
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards/Benefits - In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
- We also offer the opportunity to become a Siemens Energy shareholder
- We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
- The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
- In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical
We value equal opportunities and welcome applications from people with disabilities.
#RPO
- Collection, consolidation, and integration of data from SAP, MES, PLM, inspection systems, and IoT sensors
- Ensuring data integrity, consistency, and compliance with Siemens Energy governance standards
- Development and maintenance of structured datasets and analytical models for production use cases, including process capability studies and statistical quality control
- Application of advanced data science methods for trend identification, anomaly detection, and root cause analysis to support continuous quality improvement
- Design and deployment of analytics solutions using Python, R, and BI tools (Power BI, Tableau), including automated reporting and real‑time dashboards
- Collaboration with engineering and operations teams for the implementation of data‑driven solutions and the translation of insights into process improvement and cost optimization
- Degree in Data Science, Statistics, Engineering, or a related technical discipline
- Several years of hands‑on experience in advanced analytics within a manufacturing environment
- Proven experience in statistical analysis methods and tools (Python, R, SAS) and BI platform expertise (Tableau, Power BI, Alteryx)
- Familiarity with SAP data structures and manufacturing IT systems
- Understanding of blades and vanes manufacturing processes, including quality control and inspection workflows
- Ability to work effectively in Agile, cross‑functional teams and clear communication with technical and business stakeholders
At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
- In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
- We also offer the opportunity to become a Siemens Energy shareholder
- We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
- The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
- In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical