Data Scientist - (Hybrid)

Edreams

Cataluña

Híbrido

EUR 55.000 - 90.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid home-office model
Relocation support
Coursera learning access
Career path & mobility program

Descripción de la vacante

eDreams ODIGEO is seeking a Data Scientist to join our Barcelona Data Science Team. You will design and implement advanced analytics and ML-powered solutions across the business, from fraud detection to personalization and optimization of flight offers.

The role blends big data exploration with rapid model development in a hybrid work setting. Join a diverse team delivering hundreds of thousands of predictions daily, shaping product decisions, marketing, and customer experience at scale.

Formación

  • Degree in a quantitative field (Math, Stats, CS, Engineering or similar).
  • 2+ years of experience as a Data Scientist, ML engineer or similar.
  • Strong analytical and technical problem-solving skills.
  • Solid understanding of statistical, data mining and ML methods for various analyses.
  • Strong Python coding skills; other languages like Scala, R, Java are a plus.
  • Experience with frameworks like Spark, TensorFlow and libraries such as scikit-learn, pandas.
  • Solid SQL knowledge; experience with Big Data technologies (distributed computing, NoSQL/graph databases) and Kubernetes, Airflow or Kafka is a plus.
  • Commitment to best practices, from versioning to QA and monitoring.
  • Written and oral English communication skills.

Responsabilidades

  • Conduct predictive analytics to understand customer interactions and anticipate needs.
  • Collaborate with Product and Business teams to embed ML into apps and create predictive models.
  • Coordinate and share analytical best practices across the organization.
  • Stay up to date with ML developments and DS trends.
  • Communicate results and insights effectively with stakeholders.

Conocimientos

Python
SQL
Big Data
Machine Learning
Spark
TensorFlow
scikit-learn
Pandas
Kubernetes
Airflow
NoSQL/Graph DBs
Voice/QA
Code Versioning
English communication

Educación

Bachelor's degree in a quantitative field

Herramientas

Spark
TensorFlow
scikit-learn
Pandas
SQL
NoSQL/Graph databases
Kubernetes
Airflow
Kafka

Descripción del empleo

Data Scientist (They/She/He) - (Hybrid)

As you contemplate your future, you might be asking yourself, what's the next step? Start your journey with us! We're seeking an experienced Data Scientist to join our Data Science Team in Barcelona. If you're ready to soar, we're ready to take you there. You will have the opportunity to either crunch massive datasets using the latest Big Data technologies or solve a quick problem with an already classic algorithm. We always promote using the best tool for each task. You will be a key player in the organization by designing and implementing advanced analytics and using machine learning to build AI-powered solutions for almost every area in the business like online fraud detection, recommendation engines, user experience personalization, optimizing the flight combinations we offer or the marketing campaigns we launch, and virtually every possible area subject to optimization in the business etc. Join us and help us reach our ambitious goal of becoming the global leader in online travel!

Our dynamic team of young, talented professionals from over 60 different nationalities is driven by one clear mission: making travel easier, more accessible, and create better value for our 18 million customers worldwide. Inside our Data Science team, we research and build cutting-edge solutions to be able to offer more and better combinations of tailored travel plans than any other site. We have dozens of machine learning models in production doing hundreds of thousands of predictions that optimize our processes, improve the content for our customers and help us adapt to changes in the market. The team is constantly analyzing the past to understand it, and predicting the future to guide business on making the decisions that drive the most value both for our customers and our business.

Why eDreams ODIGEO

Join the world's leading travel subscription platform and one of the largest e-commerce businesses in Europe.

Millions of customers every year across 44 markets – 5 brands – 7M members in Prime More than 100 million searches per day – Up to 6 billion daily AI predictions[e1] Over 1,600 employees – More than 60 different nationalities from all continents – 99% permanent contracts - 36 average age

We're the world’s leading travel subscription platform. We pioneered Prime, the first and largest travel subscription programme, which has topped over 7.7 million members since launching in 2017. Prime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits. This entire Prime experience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members

What you will do:
  • Conduct predictive analytics to better understand how our customers interact with our products and help us anticipate their needs.
  • Collaborate with Product and Business teams in order to embed Machine Learning into our apps, services and products and create predictive models and generate insights from our data.
  • Coordinate, challenge and share the best analytical practices and methods within the organization.
  • Stay up to date with the latest developments in Machine Learning technologies and Data Science trends.
  • Effectively communicate results and insights with other stakeholders throughout the organization.

As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers.

What you need to succeed:

Job Requirements Bring your unique perspective, speak up, and offer disruptive solutions. You'll have the opportunity to learn and grow while making a real impact on our team. Here's what you need to succeed:

  • Degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering or other quantitative fields).
  • 2+ years of related experience as a Data Scientist, Machine Learning engineer or similar.
  • Previous experience in problem-solving, strong analytical and technical skills.
  • You have a solid understanding of appropriate statistical, data mining and machine learning methods for various analysis situations.
  • Strong experience coding in Python. Other programming languages like Scala, R, or Java are also valued.
  • Experience using frameworks like, Spark, Tensorflow and the already classic libraries like scikit-learn, pandas, etc.
  • Solid knowledge and use of SQL is important. Experience in Big Data technologies; such as distributed computing, NoSQL/graph databases or architectures based on Kubernetes, airflow or Kafka would be a plus.
  • You are committed to following good practices and conventions, from code versioning to QA processes and monitorization.
  • Written and oral communication skills (in English).
  • Experience with Applied AI Tools: Demonstrated comfort using practical AI tools such as GitHub Copilot, ChatGPT, or other AI-powered coding assistants.
  • Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into software development workflows.
  • AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to debug code, streamline development processes, and enhance productivity.
  • Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.
  • Collaboration with AI: Experience or interest in collaborating closely with AI tools to complement traditional software development practices.
What’s in it for you?

The best talent deserves the best benefits

At eDO, we want you to be a part of our success story and great culture.

  • A rewarding Compensation package! Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and premium equipment with role-based selection options.
  • Continuous learning to fuel your growth and explore new horizons! Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more. Plus, enjoy a great onboarding program.
  • Grow opportunities to empower your career, and unleash your potential! Personalised career paths and the eVOLVE Program will help you discover, grow, and thrive. Internal mobility opportunities let you pursue horizontal career changes and promotions.
  • Your Well-being is our priority. Embrace Freedom and Flexibility! At eDO, we value flexibility, employee care, and transparency. We offer a hybrid home-office model focused on outcome, not time-in-seat. You'll be able to find the right work-personal life balance that suits you best.
  • Work hard, party hard! We believe in having fun and connecting with colleagues! Join eDO for after-work events, padel tournaments, parties, and more. Create communities based on your passions, like sports and music. Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices.
  • Enjoy a dynamic and healthy environment! Be innovative, take risks, and share your ideas. Our diverse and open-minded teams support high performance, learning, and growth. You'll work in an Agile mindset environment with recognition at our core.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success. Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation.

#LI-Hybrid

#LI-PV1

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