Data Scientist

TL;DR

Data Scientist (AI/Data Science ML): Designing and implementing advanced analytics and machine learning models to build AI-powered solutions across various business areas like fraud detection, recommendation engines, and marketing optimization with an accent on predictive analytics and embedding ML into products. Focus on developing scalable AI models, collaborating with product and business teams, and staying updated with the latest ML technologies.

Location: Barcelona, Spain with a hybrid work model

Company

Leading travel tech company revolutionizing the travel booking experience with a global presence and a diverse team.

What you will do

• Conduct predictive analytics to understand customer interactions and anticipate needs.
• Collaborate with Product and Business teams to embed machine learning into apps and services.
• Coordinate and share best analytical practices within the organization.
• Stay updated with latest developments in machine learning and data science.
• Communicate results and insights effectively to stakeholders.

Requirements

• Degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Engineering.
• 2+ years of experience as a Data Scientist or Machine Learning engineer.
• Strong analytical and technical skills with solid understanding of statistical and machine learning methods.
• Proficiency in Python and experience with frameworks like Spark, Tensorflow, scikit-learn, and pandas.
• Knowledge of SQL and Big Data technologies; experience with distributed computing, NoSQL, Kubernetes, Airflow, or Kafka is a plus.
• English: Written and oral communication skills required.

Nice to have

• Experience with applied AI tools such as GitHub Copilot or ChatGPT.
• Experimentation mindset and eagerness to integrate emerging AI-driven solutions.
• Ability to leverage AI tools for debugging and productivity enhancement.
• Adaptability and learning agility with AI features.
• Interest in collaborating with AI as pair programmers.

Culture & Benefits

• Competitive salary and benefits including flexible benefits, bonuses, and relocation support.
• Continuous learning opportunities with free Coursera access and leadership development.
• Personalized career paths and internal mobility opportunities.
• Hybrid home-office model focused on outcomes and work-life balance.
• Fun and inclusive work environment with social events and no dress code.
• Agile mindset with emphasis on innovation, risk-taking, and idea sharing.