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ABOUT USHBX Group is a leading B2B ecosystem player in the TravelTech space, connecting and empowering businesses in the ever-evolving world of travel.

We drive growth for our clients and partners while removing friction from the end-to-end travel experience.

Our cloud-based technology platforms offer fast and reliable access to a unique portfolio of travel products & services, while rich data and intelligence seamlessly connect supply and demand worldwide.

We have over more than 3,000 experts worldwide, including specialists on the ground who provide insights and support to boost trading even further, especially in the most hard-to-reach segments.

This unique blend of technology, data and passionate people serves as a catalyst for all businesses aiming to unlock their full potential in the travel arena.

HBX Group comprises four best-in-class B2B brands that meet the needs of its growing and diverse client base across 190+ global markets:

• Hotelbeds, who cater for the specific needs of hoteliers, tour operators, airlines and online travel agents
• Bedsonline, exclusively serving the retail travel segment
• Roiback, the HotelTech partner for independent hotels and chains seeking growth through direct channel solutions
• TravelStack, providing all products, services and solutions to businesses looking to enter into the lucrative travel arena.

Job SummaryWould you like to work with the most advanced technologies in Data Science?Join our expanding Analytics & Data Science team, taking on new challenges to support strategic projects.

We aim to put data insights at the heart of every commercial action in our e-commerce business. To do this we need people who are experienced in data analysis, ML modelling and visualizations. We want our team to drive our commercial success through the solutions we build.
The company blends a great working environment with lots of challenges.

Our HQ is in Palma de Mallorca although the team is based in multiple locations and we practice both a hybrid and remote work model.

Your internal collaborators will be global with users all over.

We want you to be productive, so we have a modern analytics stack that includes Snowflake for data warehousing, DBT and Airflow for data pipelines, Python for ML modelling and Tableau for data visualizations.

Job DescriptionAs a Data Scientist, you will be expected to drive the adoption and implementation of ML/AI models within HBX Group, Hotelbeds.

You should be experienced in terms of releasing ML models into production and be able to contribute to all parts of a solutions design.

This means that as well as having deep knowledge of ML/AI models, you will also be experienced in cleaning/joining data, building data pipelines, visualizing data and explaining your model to the business.

The role will be technical but will also require you to meet with stakeholders to understand their problems and translate these into solutions that insightful and intuitive.

Within our team we utilize agile working methods and you can expect to be given responsibility from the first moment.

So, are you up for the challenge?Job ResponsibilitiesModelling – Build predictive models using ML and AI.

This will encompass all parts of moving a model into production including data cleaning/joining, feature engineering, model selection / hyperparameters, data pipelines/scheduling and communicating results to the business.

Analysis – Link and analyze a range of datasets, understand our business logic and generate insights around our business problems.

Build – Contribute to our solutions by making changes to our apps, building dashboards or creating consumable data sources.
Knowledge Sharing – define and share data science best practices with the team and wider business.

Design & Development – Use you knowledge of modelling, data architecture and UI/UX to recommend and build solutions for our users.

Strategy / Business understanding - Collects requirements and iterate with the business to constantly improve our solutions.
Business Support - Provide BAU support for existing dashboards and reports.

Required Skills5+ years experience using Python and SQLExamples of releasing ML/AI based solutions into productionPast experience of working with ETL/ELT tools such as DBT, Airflow...Experience using Tableau or a similar BI toolAdvanced Excel skillsA history of managing/coaching others to adopt data science best practices.

Proactive and eager to learn new technologies and their usageInterest in both business knowledge and technical capabilities.
Analytical capabilitiesGood communication skillsFluent in English.

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