Growth Data Scientist – Hybrid in Barcelona

Aristocrat Gaming; Barcelona; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Aristocrat in Barcelona is seeking a Growth Data Scientist to support player acquisition through data-driven strategies. The role is hybrid and based in the Barcelona office, three days per week, focusing on forecasting, modelling, and actionable analytics.

You will work with cross-functional teams to translate insights into growth initiatives, leveraging Python, SQL, and time-series techniques to improve marketing efficiency and decision making. A collaborative, data-driven culture awaits.

Qualifikationen

• Degree in Mathematics, Statistics, Economics, Computer Science, or equivalent.
• Professional data science experience delivering end-to-end data or ML projects.
• Experience applying analytical techniques to marketing, growth, or digital environments.

Aufgaben

• Counsel the UA team on budget planning and channel tactics using data analysis.
• Apply statistical analysis, causal inference, ML, and time-series modelling to understand user behaviour and channel efficiency.
• Identify areas for improvement and build analyses and models that yield actionable recommendations.
• Build and maintain forecasting models to support UA planning and decision-making.
• Translate complex findings into clear insights for technical and non-technical collaborators.
• Collaborate with Data Analytics and Engineering to ensure reliable data foundations and features.

Kenntnisse

Python

SQL

Forecasting

Time-series modelling

Causal inference

A/B testing

Data visualization

Problem solving

Communication

Ausbildung

Bachelor's degree in Mathematics/Statistics/Economics/CS

Jobbeschreibung

Aristocrat in Barcelona is seeking a Growth Data Scientist to support player acquisition through data-driven strategies. The role is hybrid and based in the Barcelona office, three days per week, focusing on forecasting, modelling, and actionable analytics.

You will work with cross-functional teams to translate insights into growth initiatives, leveraging Python, SQL, and time-series techniques to improve marketing efficiency and decision making. A collaborative, data-driven culture awaits.