Sonar
Machine Learning Scientist - AI for Code(m/w/x)
Full-timeWith HomeofficeSenior
Genf
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IAIATA
Principal Data Scientist(m/w/x)
Le Grand-Saconnex
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Cross-divisional machine learning model deployment for an association representing 350+ global airlines. Minimum 8 years of professional experience in predictive modeling and advanced statistical programming required. Paid volunteering time off and family-friendly policies.
Requirements
- Advanced degree in data science, mathematics, engineering, physics or related discipline
- Proficient quantitative, statistical, and programming skills
- Experience in data science and analysis
- Experience developing analytical and predictive models
- 8+ years experience in Data Science or equivalent
- Experience in advanced ML, NLP, deep learning and Generative AI
- Strong stakeholder management skills
- Ability to influence technical conversations
- Experience with cloud-based machine learning services
- Experience with agile development methodologies, data or ML engineering (advantageous)
- Aviation industry experience (advantageous)
Tasks
- Collaborate with Data Governance and Engineering teams
- Create and deploy machine learning models
- Address complex business challenges with algorithms
- Design cross-divisional data science solutions
- Identify opportunities to drive business value
- Manage data science projects from conception to delivery
- Drive innovative cultural change through data insights
- Transform decision-making and value-creation processes
- Integrate machine learning solutions with existing systems
- Manage a portfolio of data science initiatives
- Set technical direction and raise standards
- Mentor data scientists at various seniority levels
- Oversee and coordinate external vendors
- Unblock complex technical initiatives
- Translate analytical concepts into business terms
- Present complex information to stakeholders and management
- Develop strategy for current and future AI solutions
- Lead strategic workstreams on the AI Enabling Board
- Participate in key data science communities
Work Experience
8 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
AWS SageMakerGoogle Cloud Vertex AIGenerative AILLMsNLPDeep learning
Benefits
Learning & Development
- •Over 30,000 courses
- •Continuous learning support
Family Support
- •Family-friendly policies
Social Impact
- •Volunteering time off
Flexible Working
- •Flexible work options
- •Remote and hybrid work
Workation & Sabbatical
- •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
Principal Data Scientist(m/w/x)
Le Grand-Saconnex
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Cross-divisional machine learning model deployment for an association representing 350+ global airlines. Minimum 8 years of professional experience in predictive modeling and advanced statistical programming required. Paid volunteering time off and family-friendly policies.
Requirements
- Advanced degree in data science, mathematics, engineering, physics or related discipline
- Proficient quantitative, statistical, and programming skills
- Experience in data science and analysis
- Experience developing analytical and predictive models
- 8+ years experience in Data Science or equivalent
- Experience in advanced ML, NLP, deep learning and Generative AI
- Strong stakeholder management skills
- Ability to influence technical conversations
- Experience with cloud-based machine learning services
- Experience with agile development methodologies, data or ML engineering (advantageous)
- Aviation industry experience (advantageous)
Tasks
- Collaborate with Data Governance and Engineering teams
- Create and deploy machine learning models
- Address complex business challenges with algorithms
- Design cross-divisional data science solutions
- Identify opportunities to drive business value
- Manage data science projects from conception to delivery
- Drive innovative cultural change through data insights
- Transform decision-making and value-creation processes
- Integrate machine learning solutions with existing systems
- Manage a portfolio of data science initiatives
- Set technical direction and raise standards
- Mentor data scientists at various seniority levels
- Oversee and coordinate external vendors
- Unblock complex technical initiatives
- Translate analytical concepts into business terms
- Present complex information to stakeholders and management
- Develop strategy for current and future AI solutions
- Lead strategic workstreams on the AI Enabling Board
- Participate in key data science communities
Work Experience
8 years
Education
Master's degree
Languages
English – Business Fluent
Tools & Technologies
AWS SageMakerGoogle Cloud Vertex AIGenerative AILLMsNLPDeep learning
Benefits
Learning & Development
- •Over 30,000 courses
- •Continuous learning support
Family Support
- •Family-friendly policies
Social Impact
- •Volunteering time off
Flexible Working
- •Flexible work options
- •Remote and hybrid work
Workation & Sabbatical
- •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?
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