AI-Powered Data Scientist (Hybrid)
Siemens Energy
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Benefits offered by this job
Job summary
Siemens Energy is seeking a data-focused professional to own and operate data products on Snowflake, develop data pipelines, and introduce AI solutions for business users. You will collaborate across international teams to convert complex data into actionable insights, drive digitalization milestones, and support Enterprise AI initiatives.
The role emphasizes strong SQL/Python skills, experience with Snowflake, and interest in modern data technologies, with a hybrid work model offering up to 50%
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related technical field.
- Strong SQL and Python skills, with experience working with databases.
- Experience with Snowflake is an advantage.
- Experience with SAP or Salesforce and Power BI is beneficial.
- Interest in modern data technologies and AI solutions; willingness to learn Mendix.
Responsibilities
- Assume operational ownership of data products and applications built on Snowflake.
- Monitor platform operations, troubleshoot access and performance issues, and maintain security protocols.
- Collaborate with cross-functional teams to resolve issues and support digitalization milestones.
- Design, implement, and maintain data pipelines, data models, and transformation logic.
- Analyze datasets to generate analytics informing management decisions and strategy.
Skills
Education
Tools
Job description
Siemens Energy is seeking a data-focused professional to own and operate data products on Snowflake, develop data pipelines, and introduce AI solutions for business users. You will collaborate across international teams to convert complex data into actionable insights, drive digitalization milestones, and support Enterprise AI initiatives.
The role emphasizes strong SQL/Python skills, experience with Snowflake, and interest in modern data technologies, with a hybrid work model offering up to 50%
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