Data Scientist

Athens, Attica, Greece

Applications have closed

Etraveli Group

Etraveli Group is a world-leading tech platform for selling flights. We are here to solve the complexity by connecting millions of flights and travelers across the world.

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Etraveli Group is the globally leading company for tech solutions and fulfillment capabilities for online sales of flights. We are here to solve complexity, by connecting millions of flights and travelers across the globe. We hold consumer online travel agency brands like Mytrip, GoToGate & Flight Network and serve exclusively Booking.com with flights. Etraveli Group has also established strategic partnerships with companies like Skyscanner, Google Flights, TUI, etc.

Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 2300 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do. Our major offices are in Sweden (HQ), Canada, Greece, India, Poland, with the Athens office being one of the largest, hosting around 500 employees working from the center of Athens for the rest of the world.

Join us and start today as Data Scientist!

Position Summary

The team Data Science and Research (DSR) at Etraveli Group consists of Data Scientists, Machine Learning Engineers, ML Ops Engineers and Data Engineers. The DSR teams operate within Content Inventorisation, Revenue Estimation and Ticket Pricing, while at the same time, they need to maintain, enhance, and grow Data Architecture together with the increase of traffic. To implement new state-of-the-art data pipelines and consolidate our existing solutions, the team is scaling and as our new Data Scientist, there will be the opportunity for you to work with large scale data sets and high-performance applications that need to process and assess billions of records a day. This is a challenging environment, where you will get to work with cutting edge ML technology used in production to ensure-among others- optimal Data Flows.

Responsibilities

To be successful in this role you need to be able to:

  • Perform data analysis, data mining, and data visualization to identify trends, patterns, and insights from large datasets.
  • Develop and implement machine learning models and algorithms to solve business problems and optimize processes.
  • Collaborate with stakeholders to define project objectives, data requirements, and success criteria.
  • Clean, preprocess, and transform data to ensure its accuracy and integrity.


Ideally, you are also able to:

  • Together with Machine Learning-, Data- and ML Ops Engineers implement the models into our services according to best practices.
  • Interpret and communicate findings to both technical colleagues and non-technical stakeholders through reports, presentations and visualizations.
  • Stay updated with the latest industry trends, tools, and techniques in data science and apply them to enhance our data-driven capabilities.

Requirements

  • University degree in a STEM discipline. A PhD is meritorious.
  • Preferably 2-3 years of experience as a Data Scientist or similar role in a corporate or research environment.
  • Strong math skills (e.g. statistics, algebra)
  • Proficiency in programming Python.
  • Experience with statistical analysis, data mining, and data visualization libraries (e.g., Pandas, NumPy, Matplotlib, seaborn).
  • Strong understanding of machine learning techniques and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Understanding of time series forecasting techniques is a bonus.
  • Familiarity with SQL and database querying for data extraction and manipulation.
  • Excellent command of spoken and written English

Benefits

We are looking for people who would make the world smaller for travelers but want a bigger world of opportunities for themselves. With us you can enjoy:

  • Working in a hybrid model - having the opportunity to work both remotely and at the office! #LI-Hybrid
  • Health Benefits - Through partners, we offer a private health insurance plan. We also offer the possibility to use 2 extra medical leave days in case of need.
  • Monthly ticket restaurant card - to spend in one of the thousands affiliated restaurants, cafes, stores or supermarkets across Greece.
  • Office in the City – We sit on bright, large floors (over 4000㎡!) in central Athens. Just a short walk from the Ambelokipi Metro station.
  • Growth – We believe in personal development and continuous education. We allocate a generous budget each year to spend at conferences, seminars, online courses or other means to learn new things. In addition to this, we continuously organize internal training and workshops, so that we can learn from each other.
  • Hackathon and Dev week – We believe in fostering creativity and testing new things. Therefore, we have recurring Hackathon and Dev weeks, where the teams decide what they want to work on.
  • Team activities - We also like to schedule company/department/team activities and events outside the office space!
  • Fun & Work - We have a relaxed working environment where you can enjoy breakfast, free beverages & fruits, playing ping pong or video games.

Diversity disclaimer

At Etraveli Group we value diversity; we pride ourselves on being a company represented by people of all different backgrounds. During hiring, we are committed to ensure equality and promote diversity in the workplace at every selection stage. As such, we provide the same opportunities for all candidates regardless of race, religion or belief, gender, nationality, ethnicity, sexual orientation, age, marital status, disability, or any other characteristic protected under any anti-discrimination law or regulation.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Data analysis Data Mining Data pipelines Data visualization Machine Learning Mathematics Matplotlib ML models NumPy Pandas PhD Pipelines Python PyTorch Research Scikit-learn Seaborn SQL Statistics STEM TensorFlow Testing

Perks/benefits: Career development Conferences Health care Insurance Medical leave Startup environment Team events Travel

Region: Europe
Country: Greece
Job stats:  30  3  0
Category: Data Science Jobs

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