About the Role
- Country: UNITED STATES OF AMERICA
- State/Province/County: North Carolina
- City: Charlotte
A Snapshot of Your Day
As a Manufacturing Data Scientist - 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.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
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
Rewards/Benefits
- Career growth and development opportunities
- Supportive work culture
- Company paid Health and wellness benefits
- Paid Time Off and paid holidays
- 401K savings plan with company match
- Family building benefits
- Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
#TeamPurple
#gernperDu
A Snapshot of Your Day
As a Manufacturing Data Scientist - 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.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
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
Rewards/Benefits
- Career growth and development opportunities
- Supportive work culture
- Company paid Health and wellness benefits
- Paid Time Off and paid holidays
- 401K savings plan with company match
- Family building benefits
- Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
#TeamPurple
#gernperDu
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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