Growth Data Scientist - Mobile Gaming

Aristocrat Technologies; Barcelona; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

Aristocrat Technologies invites a Growth Data Scientist to shape player acquisition and channel efficiency through advanced analytics and ML. You will work in a hybrid Barcelona-based role, three days in the office, collaborating with growth, analytics and engineering teams.

You’ll model budgets, forecast UA results, and translate complex analyses into practical recommendations for business leaders. A quantitative degree and strong Python/SQL skills are essential, with experience in forecasting

Qualifications

• Degree in Mathematics, Statistics, Economics, Computer Science, or similar quantitative field.
• Professional data science experience delivering end-to-end data or ML projects.
• Experience applying analytics to business challenges in marketing/growth/digital environments.
• Experience in gaming or digital entertainment is a strong plus.
• Proficiency in Python and SQL; forecasting/time-series modelling experience.
• Familiar with causal inference methods (diff-in-diff, RDD, uplift).
• Experience with data visualization and communicating results clearly.
• Able to work with ambiguity and adapt to changing priorities.

Responsibilities

• Counsel the UA team on budget planning and channel tactics using data analysis and modelling.
• Apply statistical analysis, causal inference, ML, and time-series modelling to understand user behavior and channel efficiency.
• Identify improvements and build analyses and models that yield actionable recommendations.
• Build and maintain forecasting models to support UA planning and decision-making.
• Translate findings into clear insights for technical and non-technical collaborators.
• Collaborate with Data Analytics and Engineering teams to ensure data reliability.
• Learn from and share ideas with a globally distributed data science team.

Skills

Python

SQL

Forecasting

Time-series

Causal inference

A/B testing

Data visualization

Problem solving

Education

Quantitative degree (Math/Statistics/Economics/CS)

Job description

Aristocrat Technologies invites a Growth Data Scientist to shape player acquisition and channel efficiency through advanced analytics and ML. You will work in a hybrid Barcelona-based role, three days in the office, collaborating with growth, analytics and engineering teams.

You’ll model budgets, forecast UA results, and translate complex analyses into practical recommendations for business leaders. A quantitative degree and strong Python/SQL skills are essential, with experience in forecasting