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Data Scientist and Project Facilitator(m/w/x)
Facilitating AI projects by translating real-world problems into quantitative contexts for an aerospace manufacturer. Experience with ML/DL techniques in Python and ML Ops knowledge essential. 35-hour week, flexible working arrangements.
Requirements
- Degree in artificial intelligence, statistics, or applied mathematics
- Experience with Machine Learning and Deep Learning techniques in Python
- ML Ops knowledge or experience
- Experience in data preparation, cleansing, and analysis
- Knowledge of agile project management
- Fluent or negotiation level in English, German a plus
- Dynamic, curious, autonomous, customer-oriented, teamwork skills
- Rigorous, analytical, and creative mind
Tasks
- Support business functions in Artificial Intelligence projects
- Translate real-world problems into quantitative contexts
- Source data and develop models to address business issues
- Combine skills in statistics, machine learning, and computer science
- Reduce production costs and improve product quality
- Work on diverse use cases like predictive maintenance and NLP classification
- Facilitate project progress and collaboration among stakeholders
- Coordinate with data owners, engineers, and ML engineers
- Deploy and operate models throughout their life-cycle
- Contribute to defining the end-to-end data science workflow
- Engage with the global Airbus AI community for support
- Stay updated on scientific literature and technology trends
- Deliver training and communications as needed
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
Benefits
Flexible Working
- Work-life balance with 35-hour week
- Flexible working arrangements
Career Advancement
- Opportunity to network globally
Social Impact
- Participation in Generation Airbus Community
Modern Equipment
- Work with modern technologies
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Data Scientist(m/w/x)
Full-timeOn-siteSeniorDonauwörth
Data Scientist and Project Facilitator(m/w/x)
Facilitating AI projects by translating real-world problems into quantitative contexts for an aerospace manufacturer. Experience with ML/DL techniques in Python and ML Ops knowledge essential. 35-hour week, flexible working arrangements.
Requirements
- Degree in artificial intelligence, statistics, or applied mathematics
- Experience with Machine Learning and Deep Learning techniques in Python
- ML Ops knowledge or experience
- Experience in data preparation, cleansing, and analysis
- Knowledge of agile project management
- Fluent or negotiation level in English, German a plus
- Dynamic, curious, autonomous, customer-oriented, teamwork skills
- Rigorous, analytical, and creative mind
Tasks
- Support business functions in Artificial Intelligence projects
- Translate real-world problems into quantitative contexts
- Source data and develop models to address business issues
- Combine skills in statistics, machine learning, and computer science
- Reduce production costs and improve product quality
- Work on diverse use cases like predictive maintenance and NLP classification
- Facilitate project progress and collaboration among stakeholders
- Coordinate with data owners, engineers, and ML engineers
- Deploy and operate models throughout their life-cycle
- Contribute to defining the end-to-end data science workflow
- Engage with the global Airbus AI community for support
- Stay updated on scientific literature and technology trends
- Deliver training and communications as needed
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
Benefits
Flexible Working
- Work-life balance with 35-hour week
- Flexible working arrangements
Career Advancement
- Opportunity to network globally
Social Impact
- Participation in Generation Airbus Community
Modern Equipment
- Work with modern technologies
About the Company
AIRBUS HELICOPTERS DEUTSCHLAND GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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