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# Data Scientist

- **Company:** Bizaway
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Data Visualization, Python (Programming Language), Machine Learning, Google Cloud, Large Language Models, Pandas, Scikit Learn, Information Technology, Qlikview, Machine Learning Operations
- **Published:** September 25, 2026
- **Apply:** https://www.buscojobs.com.es/data-scientist-en-barcelona-ID-373063995

## About the Role

Your Basic QualificationsPreviously worked in a Tech CompanyDemonstrated experience with Python (or R) for data analysis and modelingWorking knowledge of core machine learning concepts and common libraries (e.g., pandas, scikit-learn)Demonstrated experience with BI Data Visualization tools (Qlik preferred)Data analysis, presentation, and visualization experienceStrong communication skills requiredAbility to work alone or in a team as requiredBachelor's degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field is preferredEnglish proficiency (written and spoken, level B2)We are also interested inExposure to ML deployment, MLOps, or cloud platforms (AWS, GCP, Azure)Familiarity with generative AI / LLMs and their applied use casesExperience working with large or unstructured datasetsOur offerContract type: PermanentWorking hours: Full?time - 40h/week, from Monday to FridayHybrid setting, flexible working policy, and great offices xghoner in

## Description

Your role in BizAway¿Quiere enviar su solicitud?Lea toda la información sobre este puesto a continuación y luego pulse el botón de solicitar.You design, build, and improve analytical and predictive solutions, from statistical models to reporting and dashboards, turning findings into clear, actionable insights through charts, graphs, and dashboards.You learn all aspects of the travel industry from Finance, Products, Sales, and Service/Operations perspectives, translating data into actionable insights and verifiable reporting, and identifying opportunities where machine learning or automation can add value.By developing domain expertise in our industry, you engage with Business and Strategy stakeholders to help define KPIs and metrics, including how data will be captured, shared, modeled, and leveraged across our departments.You contribute to building the foundations of a comprehensive source of truth through data modeling, and you help prototype and operationalize data science use cases (e.g., forecasting, segmentation, recommendation).Your Basic QualificationsPreviously worked in a Tech CompanyDemonstrated experience with Python (or R) for data analysis and modelingWorking knowledge of core machine learning concepts and common libraries (e.g., pandas, scikit-learn)Demonstrated experience with BI Data Visualization tools (Qlik preferred)Data analysis, presentation, and visualization experienceStrong communication skills requiredAbility to work alone or in a team as requiredBachelor's degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field is preferredEnglish proficiency (written and spoken, level B2)We are also interested inExposure to ML deployment, MLOps, or cloud platforms (AWS, GCP, Azure)Familiarity with generative AI / LLMs and their applied use casesExperience working with large or unstructured datasetsOur offerContract type: PermanentWorking hours: Full?time - 40h/week, from Monday to FridayHybrid setting, flexible working policy, and great offices xghoner in EuropeSalary: Attractive compensation, including equity in the companyEquity in the company (stock options plan)A seat on a scale?up with skyrocketing growthDevelopment of your entrepreneurial spirit, having the chance to implement real?impact business decisionMulticultural and international teamCollaborative and smart environment to work and learnFree coffee to kick?start your day and free beers to celebrate togetherBizAway avoids any discrimination based on age, gender, sexual orientation, health status, nationality, political opinions, and religious beliefs in all decisions affecting personnel selection.#J-*****-Ljbffr


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