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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 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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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