Arbetsbeskrivning

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, from search and selection to trip and beyond. We hold consumer online travel agency brands like Mytrip, GoToGate & Flight Network and serve 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 3000 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), Greece, India, Canada, Poland and Uruguay.

Join us and start as a Data Scientist in the Data, Science & Research team!

The Role

Our Data Science and Research (DSR) team creates and delivers data pipelines and machine learning based solutions towards internal stakeholders. We process billions of requests daily to enable sophisticated prediction pipelines within revenue estimation, conversion analysis and pricing automation. We develop and maintain advanced data-processing and training pipelines to improve the speed and precision of our solutions and deliver them in a highly scalable and resilient environment. You will be joining an experienced team of 14 Data Scientists, Machine Learning Engineers, Data Engineers and Operations Engineers building our products from end to end.

We are in search of a Data Scientist with the ability to work in an energetic and interactive environment. You must be a self-starter with a strong foundation in statistics and machine learning and as part of our team work closely with our machine learning engineers, data engineers and business stakeholders.

Main tasks

• Work closely with stakeholders to understand business problems, define clear objectives and translate their concerns, suggestions and ideas into testable hypotheses and quantifiable metrics.
• Performing statistical analyses and visualizations to understand the structure, patterns, anomalies and quality of data.
• Clean, transform and prepare large and complex datasets for model training. You'll also identify and engineer relevant features to improve model accuracy and efficiency.
• Design, build and train robust machine learning models using appropriate algorithms and techniques. This includes experimenting with different architectures and hyperparameters to optimize performance for specific business needs.
• Work with Machine Learning, Data and Operations Engineers to deploy the final model into production. This includes performing AB tests to measure and evaluate the models performance on real world data.
• Explain model results and statistical findings clearly to both technical and non-technical stakeholders deriving actionable insights.

Learning Curve

In this role you will be using the best selection of tools and processes in the Data Science domain. You will be working within our ML platform providing automation and standardisation for analytical and exploratory work but also productionising and providing inference to business users and systems. Further, the role will enable you to learn even more about creating, developing and implementing standards for ML modelling and deepen your knowledge about ML concepts and frameworks.

Requirements

• University degree in a STEM discipline
• 2 years of professional or other comparable exceptional experience like a PhD in a related field
• Strong analytical and quantitative skills
• Proficiency in python including numerical and visualisation libraries like pandas or polars and matplotlib
• Experience in data analytics, exploration and modelling using jupyter or marimo
• Expertise in writing complex and optimised SQL queries for data extraction and manipulation
• Familiarity with version control (git) and the ability to navigate and work in larger code bases
• Understanding and experience in working with ML modelling and tuning frameworks like sklearn, lightgbm, pytorch
• Familiarity with LLM based solutions like RAG systems including orchestration and evaluation tooling like langchain or langfuse
• Exposure to implementing orchestrated training pipelines using model management using airflow and mflow
• Exposure to prediction service technologies, development practices like CI/CD and model monitoring and alerting practices will be a meritorious
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Benefits

At the Etraveli Group Gothenburg office, you will be part of +200 people, all with different cutting-edge skills and personalities. We believe that it is precisely the differences that make us a good team because we share the same ambition - we strive for the same goals, are passionate about what we do and work hard. With us you can enjoy:

• Our brand new office is located in Merkurhuset in Gothenburg, a stone's throw from public transport and lunch restaurants.
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• We have a hybrid working model so once you are onboarded you have the flexibility to work from home two days a week.
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• We love gaming and after work activities.
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• We know the value of personal development and continuous training.
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• Hackathons and Dev Weeks - We believe in promoting creativity and trying new things.
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• Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc.
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• Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident.
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• Daily breakfast – To kick the day off just right, breakfast is available at the office every morning.
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As part of this recruitment process, we will be conducting background checks. You will be able to read more information and give your consent to this process in the application form.

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.