20 publicaciones de empleo destacadas de applied scientist, eu intech consumer selection discovery, euic personalization en alcobendas, md (¡Están contratando!)

Applied Scientist, EU INTech Consumer Selection Discovery, EUIC - Personalization
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Java
- Máster
Applied Scientist, EU INTech Consumer Selection Discovery, NintAI
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
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- Máster
- SQL
- Machine learning
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Revolut —Madrid, Madrid provincia
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- SQL
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FPI Predoctoral Fellowship (Project PID2024-155187OB-I00-KAN4MET)
IE University —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Informática
- Inglés
Senior/Lead Data Scientist – Agents Team - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- Machine learning
Solicitud rápida
Principal Data Scientist – Agents Team - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- Machine learning
Solicitud rápida
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Sporty Group —Madrid, Madrid provincia
- Teletrabajo
- Azure
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Prima —Madrid, Madrid provincia
- De 45.000 € a 65.000 € al año
- Trabajo híbrido
- SQL
- AWS
- Machine learning
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Data Scientist/Data Engineer Analyst/Consultant for Supply Chain
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
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Merz Aesthetics Iberia —Alcobendas, Madrid provincia
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ENGIE —Madrid, Madrid provincia
- Doctorado
- Inglés
- Máster
Generative AI
TMC —Madrid, Madrid provincia
- Azure
- Inteligencia artificial
- Python

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Applied Scientist, EU INTech Consumer Selection Discovery, EUIC - Personalization

Amazon Spain Services, S.L.U. -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Doctorado
Visión artificial
Investigación
Java
C++
Machine learning
NLP
Desarrollo de software
Linux
Python

Descripción completa del empleo

DESCRIPTION

Amazon's EU International Technology (EU INTech) organisation is creating new ways for customers to discover products through innovative customer experiences. Our team lead AI-native practices to make the path to product effortless, globally — experiment fast, grow our people, and deliver what customers feel.

We are a science and engineering team within EU INTech, responsible for designing and developing AI/ML science solutions. We innovate on the frontlines of customer experience WW across different categories: Healthcare, Everyday Essentials, Groceries, Amazon Haul. We work across the full customer journey from search to post-purchase. We are located in the Madrid Technical Hub.

We are looking for an Applied Scientist who is passionate about solving highly ambiguous and challenging problems at global scale. This is a hands-on, end-to-end applied science role where you will own the full lifecycle of science solutions — from business problem analysis and science plan design, through development and experimentation, to production deployment. We are looking for AI/ML experts with knowledge on ranking, computer vision, recommendation systems, search, and customer experience design.

What makes this role unique:

End-to-end ownership – You will analyse business problems, map them to science plans, and design and develop solutions from ideation to production. We are owners of the full science lifecycle.
Applied science with a research edge – While our focus is on delivering applied science solutions that drive measurable business impact, our team actively pushes the state of the art in areas such as computer vision and Generative AI.

Hands-on execution – We need scientists who thrive in building, experimenting, and shipping.

What We're Looking For

A scientist who can independently analyse any business problem and design a rigorous science approach to solve it
Strong hands-on engineering skills — you build and ship, not just theorise
Deep expertise in one or more of: computer vision, generative AI, recommendation systems, ranking, or NLP
Experience taking ML models from research to production at scale
Comfort with ambiguity and the ability to structure complex, undefined problems
A passion for customer-centric innovation and measurable impact
A strong communicator capable to adapt the message from a science audience, to engineering or leadership

Key job responsibilities

Analyse complex business problems and translate them into well-defined science plans with clear milestones and success criteria
Design, develop, and deliver ML/AI models end-to-end — from research and prototyping through to production systems at Amazon scale and extending solutions going beyond the state of the art
Work with state-of-the-art models in computer vision, ranking and generative AI to power new customer experiences globally
Own major science challenges for the team, driving solutions from ideation through experimentation to production deployment
Collaborate with a variety of roles and partner teams around the world to deliver integrated solutions
Influence scientific direction and best practices across the team.
Maintain high quality standards on team deliverables
Contribute to expanding the state of the art in computer vision, ranking and GenAI through publications and internal knowledge sharing

BASIC QUALIFICATIONS

PhD or equivalent research experience
Experience in building models for business application
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience building machine learning models or developing algorithms for business application

PREFERRED QUALIFICATIONS

Experience using Unix/Linux
Experience in professional software development

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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applied scientist, eu intech consumer selection discovery, euic personalization empleos en alcobendas, md

Applied Scientist, EU INTech Consumer Selection Discovery, EUIC - Personalization

Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery

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Quiero recibir la alerta de empleo más reciente de applied scientist, eu intech consumer selection discovery, euic personalization en alcobendas, md

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