Appsfactory GmbH
Senior AI Engineer(m/w/x)
Full-timeOn-siteSenior
Leipzig, München, Hamburg, Köln
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TEtesa
Senior Data Scientist (AI & Advanced Analytics)(m/w/x)
Hamburg, Norderstedt
Full-timeOn-siteSenior
Nejo AI Summary
Developing AI and advanced analytics models for a leading adhesive tape manufacturer. Over 6 years of data science experience with Python and SQL required. Support for full lifecycle of AI/analytics use cases, data exploration, and model deployment.
Requirements
- Bachelor/Master degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
- Data science, advanced analytics, or machine learning experience (>6 years)
- Strong analytical and problem-solving skills
- Ability to translate business needs into technical solutions
- Experience with Python and SQL
- Experience with large datasets and modern data platforms
- Ability to communicate complex analytical insights
- Fluent German and English skills
- Data-driven mindset
- Business orientation and stakeholder collaboration
- Analytical thinking and structured problem solving
- Ownership and accountability for delivering solutions
- Continuous learning and curiosity in AI and analytics
Tasks
- Develop and implement data science solutions
- Create machine learning and advanced analytics models
- Translate business requirements into analytical approaches
- Support the full lifecycle of AI and analytics use cases
- Conduct data exploration and model deployment
- Monitor and maintain deployed models
- Collaborate with business stakeholders
- Identify opportunities for data-driven decisions
- Deliver insights and analytical solutions
- Ensure measurable business impact
- Document and share knowledge
- Continuously improve analytics solutions
- Work within the enterprise analytics platform
- Collaborate with data engineering and platform teams
- Utilize Microsoft Azure ecosystem
- Leverage Snowflake data platform
- Use Azure Data Factory for data integration
- Implement CI/CD pipelines with Azure DevOps
- Create visualizations with Power BI, Grafana, SAP SAC
- Develop custom UIs using Streamlit
Work Experience
- 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Native
- English – Native
Tools & Technologies
- Python
- SQL
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of tesa and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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TEtesa
Senior Data Scientist (AI & Advanced Analytics)(m/w/x)
Hamburg, Norderstedt
Full-timeOn-siteSenior
Nejo AI Summary
Developing AI and advanced analytics models for a leading adhesive tape manufacturer. Over 6 years of data science experience with Python and SQL required. Support for full lifecycle of AI/analytics use cases, data exploration, and model deployment.
Requirements
- Bachelor/Master degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
- Data science, advanced analytics, or machine learning experience (>6 years)
- Strong analytical and problem-solving skills
- Ability to translate business needs into technical solutions
- Experience with Python and SQL
- Experience with large datasets and modern data platforms
- Ability to communicate complex analytical insights
- Fluent German and English skills
- Data-driven mindset
- Business orientation and stakeholder collaboration
- Analytical thinking and structured problem solving
- Ownership and accountability for delivering solutions
- Continuous learning and curiosity in AI and analytics
Tasks
- Develop and implement data science solutions
- Create machine learning and advanced analytics models
- Translate business requirements into analytical approaches
- Support the full lifecycle of AI and analytics use cases
- Conduct data exploration and model deployment
- Monitor and maintain deployed models
- Collaborate with business stakeholders
- Identify opportunities for data-driven decisions
- Deliver insights and analytical solutions
- Ensure measurable business impact
- Document and share knowledge
- Continuously improve analytics solutions
- Work within the enterprise analytics platform
- Collaborate with data engineering and platform teams
- Utilize Microsoft Azure ecosystem
- Leverage Snowflake data platform
- Use Azure Data Factory for data integration
- Implement CI/CD pipelines with Azure DevOps
- Create visualizations with Power BI, Grafana, SAP SAC
- Develop custom UIs using Streamlit
Work Experience
- 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Native
- English – Native
Tools & Technologies
- Python
- SQL
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of tesa and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
tesa
Industry
Manufacturing
Description
Das Unternehmen ist einer der weltweit führenden Hersteller von Klebebandlösungen mit mehr als 7.000 verschiedenen Produkten.
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