Data Scientist (m/w/d)
at Syntegon Technology GmbH
71332 Waiblingen, , Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 11 Aug, 2024 | Not Specified | 11 May, 2024 | N/A | Algorithm Development,Financial Statements,Data Analytics,Financial Concepts,Knime,Computer Science,Data Modeling,Mathematics,Data Science,Power Bi,Machine Learning,Metrics | No | No |
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Description:
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Job Description
You will play a crucial role in shaping the future of Data Science and actively contribute to the success of the digital finance transformation at Syntegon.
- Developing of targeted data-driven solution with a focus on Finance and Controlling.
- Explore internal and external data sets to develop robust models and algorithms enabling informed decision-making and strategic planning.
- Visualization of data models into insightful reports and dashboards.
- Develop and maintain enterprise data generative AI chatbot solutions to meet evolving needs of our department.
- Coordinate and lead projects with regards to automation and process optimization or process mining (e. g. Power Automate, KNIME, Celonis).
QUALIFICATIONS
- University degree in Data Science, Computer Science, Mathematics or similar.
- First experience in data modeling, algorithm development or data science.
- A deep understanding of data analytics and machine learning.
- Familiarity with financial concepts and metrics (e. g. financial statements or profit-and-loss-analysis) is a plus.
- Very good knowledge in MS Office, Power BI and Power Automate.
- Excellent knowledge of German and English (written and spoken).
- Experience in working with KNIME or Celonis is a plus.
Additional Information
Responsibilities:
- Developing of targeted data-driven solution with a focus on Finance and Controlling.
- Explore internal and external data sets to develop robust models and algorithms enabling informed decision-making and strategic planning.
- Visualization of data models into insightful reports and dashboards.
- Develop and maintain enterprise data generative AI chatbot solutions to meet evolving needs of our department.
- Coordinate and lead projects with regards to automation and process optimization or process mining (e. g. Power Automate, KNIME, Celonis)
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Data science computer science mathematics or similar
Proficient
1
71332 Waiblingen, Germany