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6.084

Inteligencia Artificial jobs in United States

Científico de datos

JR Spain

Gijón
On-site
EUR 40,000 - 60,000
30+ days ago
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Senior Data Engineer

JR Spain

Santander
On-site
EUR 45,000 - 65,000
30+ days ago

Full Stack Developer

JR Spain

Gijón
On-site
EUR 30,000 - 45,000
30+ days ago

Project Manager

JR Spain

Vigo
On-site
EUR 30,000 - 50,000
30+ days ago

Project Manager

JR Spain

Córdoba
On-site
EUR 30,000 - 45,000
30+ days ago
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Senior Data Engineer

JR Spain

Badajoz
On-site
EUR 50,000 - 80,000
30+ days ago

Científico De Datos

JR Spain

Spain
On-site
EUR 40,000 - 70,000
30+ days ago

Senior Data Engineer

JR Spain

Santiago de Compostela
On-site
EUR 50,000 - 75,000
30+ days ago
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Project manager

JR Spain

Valencia
On-site
EUR 30,000 - 50,000
30+ days ago

Senior Data Engineer

JR Spain

Pamplona
On-site
EUR 50,000 - 80,000
30+ days ago

Senior Data Engineer

JR Spain

Vigo
On-site
EUR 40,000 - 70,000
30+ days ago

DATA SCIENTIST / SENIOR DATA SCIENTIST

JR Spain

Spain
On-site
EUR 30,000 - 50,000
30+ days ago

Project manager

JR Spain

La Coruña
On-site
EUR 25,000 - 40,000
30+ days ago

Senior Data Engineer

JR Spain

Tarragona
On-site
EUR 45,000 - 70,000
30+ days ago

Senior Cloud Engineer with KAFKA

JR Spain

Spain
On-site
EUR 45,000 - 65,000
30+ days ago

PROJECT MANAGER

JR Spain

Islas Baleares
On-site
EUR 30,000 - 45,000
30+ days ago

Senior Data Engineer

JR Spain

Málaga
On-site
EUR 50,000 - 80,000
30+ days ago

Senior Data Engineer

JR Spain

Almería
On-site
EUR 40,000 - 60,000
30+ days ago

Python developer

JR Spain

Spain
On-site
EUR 45,000 - 70,000
30+ days ago

Senior Machine Learning Engineer

JR Spain

Spain
On-site
EUR 45,000 - 70,000
30+ days ago

Salesforce Marketing Cloud Technical Lead

JR Spain

Granada
On-site
EUR 40,000 - 60,000
30+ days ago

Senior Data Engineer

JR Spain

La Coruña
On-site
EUR 50,000 - 80,000
30+ days ago

Senior Data Engineer

JR Spain

Granada
On-site
EUR 40,000 - 70,000
30+ days ago

SALESFORCE DEVELOPER

JR Spain

Badajoz
On-site
EUR 40,000 - 60,000
30+ days ago

Business Development Manager

JR Spain

Islas Baleares
On-site
EUR 80,000 - 120,000
30+ days ago
Científico de datos
JR Spain
Gijón
On-site
EUR 40,000 - 60,000
Full time
30+ days ago

Job summary

A fast-growing technology company in the hospitality sector is seeking a Data Scientist to join their Data Science team. The role involves utilizing advanced machine learning techniques to analyze user behavior and develop AI-powered products. Candidates should have a Bachelor's degree in a quantitative field, 3+ years of experience, and proficiency in programming with Python. This opportunity promises a significant impact on a pioneering technology platform, with competitive compensation and a flexible working environment.

Benefits

Competitive salary package
Flexible working hours
Ongoing training opportunities
Exclusive hotel discounts

Qualifications

  • 3+ years in machine learning application.
  • Proven experience in managing data science projects.
  • Strong theoretical and practical knowledge of machine learning.

Responsibilities

  • Develop and implement machine learning models.
  • Analyze large datasets to provide actionable insights.
  • Collaborate with cross-functional teams to enhance product features.

Skills

Machine Learning
Python
Data Analysis
Statistics
Problem-Solving

Education

Bachelor’s degree in a quantitative discipline

Tools

Pandas
NumPy
TensorFlow
Keras
PyTorch
Job description

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Our client, a fast-growing and innovative technology company in the hospitality sector, is seeking a talented and motivated Data Scientist to join their expanding Data Science team.

If you have a strong foundation in machine learning and programming—whether your background is in Computer Science, Mathematics, Engineering, Physics, or any other quantitative discipline—this is an exciting opportunity to make an immediate impact.

About the Company

This company provides cutting-edge B2B SaaS solutions designed to help hotel brands increase direct bookings by optimizing the guest booking experience and reclaiming their share of online revenue. With a diverse, international team based in Barcelona and other key locations worldwide, the company combines deep expertise in hospitality, product design, and consumer marketing to deliver pioneering technology that benefits thousands of hotels globally.

The Role

The Data Science team plays a central role in shaping the future of the platform by applying advanced machine learning techniques across multiple domains, including user behavior prediction, natural language processing (NLP), large language models (LLMs), computer vision, time-series forecasting, and causal inference.

Working with a unique dataset derived from millions of daily user sessions on thousands of hotel websites, the team develops AI-powered products that lead the market in personalization and performance.

Examples of Key Projects

  • Predictive Systems: Machine learning models forecasting user behaviors such as purchase likelihood, price sensitivity, and travel flexibility, enabling personalized experiences through targeted messaging.
  • AI-Driven Web Content Analysis: NLP-based tools analyzing content across numerous hotel websites, combined with extensive behavioral data to provide actionable insights that improve the customer journey.
  • AI-Powered Personalization: Recommendation engines using LLMs to automatically tailor web tools for each property, maximizing the effectiveness of direct booking strategies.

Why Join This Team?

The Data Science team is at the core of the company’s innovation, developing and deploying advanced ML and AI techniques that power high-impact products used daily by clients worldwide. Joining the team means contributing to a fast-paced environment where your work will directly influence key product features affecting millions of travelers.

What We’re Looking For

  • Bachelor’s degree in a quantitative discipline such as Computer Science, Mathematics, Physics, Engineering, or similar.
  • 3+ years of industry experience applying machine learning techniques.
  • Proven experience managing data science projects end-to-end, from ideation to implementation and delivery.
  • Strong theoretical and practical knowledge of machine learning and statistics.
  • Proficiency in Python and familiarity with key ML libraries (e.g., pandas, numpy, scikit-learn, TensorFlow/Keras or PyTorch, matplotlib, seaborn, FastAPI).
  • Strong problem-solving skills with a proactive and resourceful approach.
  • Self-motivated, creative, and eager to learn new technologies and methodologies.

Nice to Have

  • Experience with workflow orchestration tools like Airflow and messaging systems such as Apache Kafka.
  • Familiarity with cloud platforms, especially AWS (e.g., S3, ECR).
  • Experience with containerization and orchestration technologies like Docker and Kubernetes.
  • Comfortable with Linux environments, version control (Git/GitHub), and CI/CD pipelines.
  • Experience handling large datasets.
  • Hands-on experience with Deep Learning frameworks, particularly PyTorch.
  • Knowledge of deploying retrieval-augmented generation (RAG) and agentic workflows.
  • Understanding of best practices in production environments including testing, documentation, and maintenance.
  • Master’s degree in a relevant field is a plus.

What the Company Offers

  • Competitive salary package.
  • A truly international team with 25+ nationalities.
  • Work from a central office in Barcelona.
  • Opportunity to have a real impact on a fast-growing tech company.
  • Ongoing training and development opportunities.
  • Healthy work-life balance with flexible hours and a hybrid remote policy (3 days remote per week).
  • Flexible benefits including meal, transport, and nursery vouchers.
  • Perks like coffee, tea, fresh fruit, and weekly team breakfasts.
  • Exclusive discounts at hotels worldwide.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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