Data Scientist

Traveltechessentialist; Barcelona; Híbrido; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Join a leading travel tech company as a Data Scientist in Barcelona, where you'll be pivotal in designing analytics and machine learning solutions. Work with a dynamic team to enhance customer experiences and optimize business processes. Enjoy a hybrid work model and numerous benefits aimed at fostering growth and well-being.

Servicios

Competitive salary and benefits package

Flexible benefits

Performance-based bonuses

Continuous learning opportunities

Hybrid home-office model

After-work events and community activities

Free fruit, coffee, and tea

Formación

• 2+ years of experience as a Data Scientist or similar role.
• Strong analytical and technical skills.
• Solid understanding of statistical and machine learning methods.

Responsabilidades

• Conduct predictive analytics to understand customer interactions.
• Collaborate with teams to embed Machine Learning into products.
• Stay updated with the latest developments in Data Science.

Conocimientos

Predictive analytics

Machine Learning

Data mining

Statistical analysis

Python

SQL

Educación

Degree in a quantitative field

Herramientas

Spark

TensorFlow

scikit-learn

pandas

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. 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.

20 million customers – 44 markets – 5 brands – 6.5M members in Prime

16.2 million bookings FY23 - More than 50,000 bookings per day - 100 million daily user searches

8 Billion ML predictions per day - Up to 1.8 billion daily AI predictions

1400 employees – More than 50 different nationalities - 99% permanent contracts - 36.3 average age

We're a leading travel tech company, revolutionising the travel booking experience through our consumer insight, innovative technology, market leadership, and Prime, the world's first travel subscription program.

What you will do :

The Role's Key Responsibilities and Tasks

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. As a Data Scientist in the Data Science team you will be in charge of :

• 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.

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).

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.

Here's what we offer :

• 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 the possibility of choosing your equipment and, even better, keeping it for free after 3 years.
• 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.

If you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further! Take your career to new destinations by applying now and help our diverse, inclusive, and passionate team shape the future of travel.

Apply now!

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.

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