naturenergie hochrhein AG
KI-Spezialist / KI-Manager(m/w/x)
Full-timeOn-siteSenior
Rheinfelden (Baden)
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SYSyngenta Group
Senior Data Scientist(m/w/x)
Münchwilen
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Leading data science prototype implementation and scaling, developing automatic data collection and experiment protocoling tools. Master's or PhD in a related field, with hands-on data science project experience, required. Onsite doctor, fitness room, and canteen available.
Requirements
- Master’s degree or PhD in Data Science, Computer Science, Chemical Engineering, or related field
- Proficiency in Python programming, including experience with Pandas and Git
- Hands-on experience in data science projects
- Knowledge of data storage and processing technologies, such as SQL databases and data lakes
- Experience in project management and ability to work independently and collaboratively
- Strong problem-solving, analytical, and communication skills
- Ability to build and maintain strategic partnerships
- Strong stakeholder management skills
- Understanding of chemical terminology and/or experience in the chemical industry
- Excellent proficiency in English, German, and/or French
Tasks
- Lead data science prototype implementation
- Support digital transformation initiatives
- Scale successful prototypes for broader implementation
- Develop automatic data collection tools
- Create experiment protocoling tools
- Streamline data analysis processes
- Automate data analysis in laboratories
- Enhance efficiency and accuracy in production plants
- Promote a data-driven culture in laboratory environments
- Support chemical engineers and chemists with data needs
- Provide analytical support to stakeholders
- Visualize analytical findings for technical and non-technical audiences
- Integrate data science insights into decision-making workflows
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
- French – Basic
Tools & Technologies
- Python
- Pandas
- Git
- SQL
Benefits
Retirement Plans
- Competitive pension fund plan
Bonuses & Incentives
- Attractive bonus system
Healthcare & Fitness
- Onsite doctor
- Fitness room
Free or Subsidized Food
- Canteen
Family Support
- Family-friendly initiatives
- Child and Family allowance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Syngenta Group 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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SYSyngenta Group
Senior Data Scientist(m/w/x)
Münchwilen
Full-timeOn-siteSenior
Data Science
Nejo AI Summary
Leading data science prototype implementation and scaling, developing automatic data collection and experiment protocoling tools. Master's or PhD in a related field, with hands-on data science project experience, required. Onsite doctor, fitness room, and canteen available.
Requirements
- Master’s degree or PhD in Data Science, Computer Science, Chemical Engineering, or related field
- Proficiency in Python programming, including experience with Pandas and Git
- Hands-on experience in data science projects
- Knowledge of data storage and processing technologies, such as SQL databases and data lakes
- Experience in project management and ability to work independently and collaboratively
- Strong problem-solving, analytical, and communication skills
- Ability to build and maintain strategic partnerships
- Strong stakeholder management skills
- Understanding of chemical terminology and/or experience in the chemical industry
- Excellent proficiency in English, German, and/or French
Tasks
- Lead data science prototype implementation
- Support digital transformation initiatives
- Scale successful prototypes for broader implementation
- Develop automatic data collection tools
- Create experiment protocoling tools
- Streamline data analysis processes
- Automate data analysis in laboratories
- Enhance efficiency and accuracy in production plants
- Promote a data-driven culture in laboratory environments
- Support chemical engineers and chemists with data needs
- Provide analytical support to stakeholders
- Visualize analytical findings for technical and non-technical audiences
- Integrate data science insights into decision-making workflows
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
- French – Basic
Tools & Technologies
- Python
- Pandas
- Git
- SQL
Benefits
Retirement Plans
- Competitive pension fund plan
Bonuses & Incentives
- Attractive bonus system
Healthcare & Fitness
- Onsite doctor
- Fitness room
Free or Subsidized Food
- Canteen
Family Support
- Family-friendly initiatives
- Child and Family allowance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Syngenta Group 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.
About the Company
Syngenta Group
Industry
Agriculture
Description
Syngenta ist ein Arbeitgeber für Chancengleichheit und diskriminiert nicht bei Recruitment und anderen Beschäftigungspraktiken.
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Full-timeOn-siteSeniorMaulburg - Syngenta Group
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Full-timeOn-siteJuniorMünchwilen - naturenergie hochrhein AG
Teamleiter Datenmanagement, Analyse und KI(m/w/x)
Full-timeOn-siteExperiencedRheinfelden (Baden) - Syngenta Group
Team Leader Process Research Chemistry(m/w/x)
Full-timeOn-siteSeniorStein