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Lead Data Scientist(m/w/x)
Improving data quality at scale for sustainable engineering materials. Advanced modeling and ML Ops skills required. Global bonus program and performance bonuses.
Requirements
- Master’s or PhD in Data Science, Computer Science, Applied Mathematics, Econometrics, or Engineering
- Experience in advanced modeling
- Advanced Python and ML Ops skills
- Experienced in analytics engineering
- Data storytelling know-how
- Business acumen
Tasks
- Improve data quality at scale
- Deliver advanced analytics
- Build predictive models
- Develop decision-support tools
- Explore complex datasets
- Analyze complex datasets
- Correct complex datasets
- Build analysis tools
- Identify harmonization gaps
- Model complex datasets
- Define data requirements
- Ensure use of approved data sources
- Document model lifecycle artefacts
- Maintain model lifecycle artefacts
- Monitor model lifecycle artefacts
- Ensure models adhere to ethical AI standards
- Ensure models adhere to fairness criteria
- Ensure models adhere to regulatory requirements
Work Experience
- 5 - 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- ML Ops
Benefits
Bonuses & Incentives
- Global bonus program
- Performance bonuses
Retirement Plans
- Retirement plans
Healthcare & Fitness
- Health programs
- Comprehensive medical care
Other Benefits
- Life insurance
Flexible Working
- Flexible work schedule
Learning & Development
- Training
Mentorship & Coaching
- Coaching
- Mentoring
Informal Culture
- Diverse and inclusive working environment
- Culture of belonging, openness, and respect
Not a perfect match?
- EnvaliorFull-timeOn-siteSeniorDüsseldorf
- EY
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Artificial Intelligence Product Owner (AI) / Scientist(m/w/x)
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Head of AI Enablement – GEA AHEAD Program(m/w/x)
Full-timeOn-siteManagementDüsseldorf
Lead Data Scientist(m/w/x)
Improving data quality at scale for sustainable engineering materials. Advanced modeling and ML Ops skills required. Global bonus program and performance bonuses.
Requirements
- Master’s or PhD in Data Science, Computer Science, Applied Mathematics, Econometrics, or Engineering
- Experience in advanced modeling
- Advanced Python and ML Ops skills
- Experienced in analytics engineering
- Data storytelling know-how
- Business acumen
Tasks
- Improve data quality at scale
- Deliver advanced analytics
- Build predictive models
- Develop decision-support tools
- Explore complex datasets
- Analyze complex datasets
- Correct complex datasets
- Build analysis tools
- Identify harmonization gaps
- Model complex datasets
- Define data requirements
- Ensure use of approved data sources
- Document model lifecycle artefacts
- Maintain model lifecycle artefacts
- Monitor model lifecycle artefacts
- Ensure models adhere to ethical AI standards
- Ensure models adhere to fairness criteria
- Ensure models adhere to regulatory requirements
Work Experience
- 5 - 10 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- ML Ops
Benefits
Bonuses & Incentives
- Global bonus program
- Performance bonuses
Retirement Plans
- Retirement plans
Healthcare & Fitness
- Health programs
- Comprehensive medical care
Other Benefits
- Life insurance
Flexible Working
- Flexible work schedule
Learning & Development
- Training
Mentorship & Coaching
- Coaching
- Mentoring
Informal Culture
- Diverse and inclusive working environment
- Culture of belonging, openness, and respect
About the Company
Envalior
Industry
Manufacturing
Description
Envalior treibt die Zukunft leistungsstarker Materiallösungen voran und schafft ein Arbeitsumfeld, in dem Stimmen gehört werden und Ideen Wertschätzung finden.
Not a perfect match?
- Envalior
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Artificial Intelligence Product Owner (AI) / Scientist(m/w/x)
Full-timeOn-siteExperiencedDüsseldorf - 43280 GEA Group Services GmbH
Head of AI Enablement – GEA AHEAD Program(m/w/x)
Full-timeOn-siteManagementDüsseldorf