Sonar
Machine Learning Scientist - AI for Code(m/w/x)
Full-timeWith HomeofficeSenior
Genf
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IAIATA
Data Scientist(m/w/x)
Le Grand-Saconnex
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing ML models and NLP solutions for global aviation stakeholders. Generative AI experience required. Volunteering time off, family-friendly policies.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- GCP Vertex AI
- AWS SageMaker
- Snowflake
Benefits
Competitive Pay
- Equal salary certification
Family Support
- Family-friendly policies
Social Impact
- Community involvement
- Volunteering time off
Flexible Working
- Flexible work options
- Remote work
- Hybrid work
- Work from abroad policy
More Vacation Days
- Birthday off
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of IATA 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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IAIATA
Data Scientist(m/w/x)
Le Grand-Saconnex
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
Developing ML models and NLP solutions for global aviation stakeholders. Generative AI experience required. Volunteering time off, family-friendly policies.
Requirements
- 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
Tasks
- 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
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- GCP Vertex AI
- AWS SageMaker
- Snowflake
Benefits
Competitive Pay
- Equal salary certification
Family Support
- Family-friendly policies
Social Impact
- Community involvement
- Volunteering time off
Flexible Working
- Flexible work options
- Remote work
- Hybrid work
- Work from abroad policy
More Vacation Days
- Birthday off
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of IATA 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
IATA
Industry
Transportation
Description
The company represents over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive.
Not a perfect match?
- Sonar
Machine Learning Scientist - AI for Code(m/w/x)
Full-timeWith HomeofficeSeniorGenf - IATA
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Full-timeRemoteExperiencedGenf - SonarSource
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Senior AI Engineer(m/w/x)
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