Dein persönlicher KI-Karriere-Agent
Data Scientist(m/w/x)
Developing ML models and NLP solutions for global aviation stakeholders. Generative AI experience required. Volunteering time off, family-friendly policies.
Anforderungen
- Master’s degree in data science, mathematics, engineering, physics, or related field
- Strong quantitative, statistical, and programming skills
- Experience in data analysis and machine learning model development
- Experience with natural language processing techniques (NLP)
- Experience with Generative AI
- Good understanding of deep learning techniques
- Good understanding of deep learning frameworks
- Experience with cloud-based machine learning services is an advantage
- Familiarity with Agile development is an advantage
- Data or ML engineering experience is an advantage
Aufgaben
- Deliver well-scoped data science solutions
- Turn use cases into analytical or ML solutions
- Identify opportunities with stakeholders
- Deliver data science projects from concept to implementation
- Develop machine learning models and solutions
- Clarify business stakeholder requirements
- Assess feasibility of stakeholder needs
- Translate needs into analytical or modelling tasks
- Seek senior guidance on architectural impact
- Own data science use cases from refinement to handover
- Select appropriate technical methods and tools
- Balance quality, feasibility, and timelines
- Escalate broader architectural choices
- Coordinate team contributions on projects
- Identify project risks, blockers, and dependencies
- Ensure solutions align with best practices
- Communicate progress, insights, and next steps
- Support complex or cross-team communication
- Contribute to data science and AI communities
- Participate in governance activities
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- GCP Vertex AI
- AWS SageMaker
- Snowflake
Benefits
Attraktive Vergütung
- Equal salary certification
Familienfreundlichkeit
- Family-friendly policies
Gemeinnützige Ausrichtung
- Community involvement
- Volunteering time off
Flexibles Arbeiten
- Flexible work options
- Remote work
- Hybrid work
- Work from abroad policy
Mehr Urlaubstage
- Birthday off
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Data Scientist(m/w/x)
Developing ML models and NLP solutions for global aviation stakeholders. Generative AI experience required. Volunteering time off, family-friendly policies.
Anforderungen
- Master’s degree in data science, mathematics, engineering, physics, or related field
- Strong quantitative, statistical, and programming skills
- Experience in data analysis and machine learning model development
- Experience with natural language processing techniques (NLP)
- Experience with Generative AI
- Good understanding of deep learning techniques
- Good understanding of deep learning frameworks
- Experience with cloud-based machine learning services is an advantage
- Familiarity with Agile development is an advantage
- Data or ML engineering experience is an advantage
Aufgaben
- Deliver well-scoped data science solutions
- Turn use cases into analytical or ML solutions
- Identify opportunities with stakeholders
- Deliver data science projects from concept to implementation
- Develop machine learning models and solutions
- Clarify business stakeholder requirements
- Assess feasibility of stakeholder needs
- Translate needs into analytical or modelling tasks
- Seek senior guidance on architectural impact
- Own data science use cases from refinement to handover
- Select appropriate technical methods and tools
- Balance quality, feasibility, and timelines
- Escalate broader architectural choices
- Coordinate team contributions on projects
- Identify project risks, blockers, and dependencies
- Ensure solutions align with best practices
- Communicate progress, insights, and next steps
- Support complex or cross-team communication
- Contribute to data science and AI communities
- Participate in governance activities
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- GCP Vertex AI
- AWS SageMaker
- Snowflake
Benefits
Attraktive Vergütung
- Equal salary certification
Familienfreundlichkeit
- Family-friendly policies
Gemeinnützige Ausrichtung
- Community involvement
- Volunteering time off
Flexibles Arbeiten
- Flexible work options
- Remote work
- Hybrid work
- Work from abroad policy
Mehr Urlaubstage
- Birthday off
Über das Unternehmen
IATA
Branche
Transportation
Beschreibung
The company represents over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive.
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