Your role in BizAway
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 Qualifications
Previously worked in a Tech Company
Demonstrated experience with Python (or R) for data analysis and modeling




Working 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 experience
Strong communication skills required
Ability to work alone or in a team as required
Bachelor's degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field is preferred
English proficiency (written and spoken, level B2)
We are also interested in
Exposure to ML deployment, MLOps, or cloud platforms (AWS, GCP, Azure)
Familiarity with generative AI / LLMs and their applied use cases
Experience working with large or unstructured datasets
Our offer
Contract type: Permanent
Working hours: Full‑time – 40h/week, from Monday to Friday
Hybrid setting, versátil working policy, and great offices in Europe
Salary: Attractive compensation, including equity in the co

📌 Data Marketing Scientist (España)
🏢 Bizaway
📍 España