Lead Data Scientist: Player Engagement & Monetisation

the hive; Barcelona; On-site; EUR 90,000 - 120,000; Full time

Job summary

Product Madness is seeking a Lead Data Scientist to drive statistical analysis, predictive modelling, and ML initiatives across data-rich gaming platforms. You will analyse player behaviour, tackle business problems, and improve player engagement, retention, and monetisation.

You will guide end-to-end ML projects, collaborate with game developers and product teams, design experiments, and build scalable analytical tools to inform strategic decisions.

Qualifications

• A degree or equivalent in data analysis, CS, statistics, or related field.
• At least 3 years working in data science with ML projects.
• Strong knowledge of statistics, probability, and data analysis.
• Ability to develop, build, assess and evaluate predictive models.
• Experience with A/B testing, experimental design, and causal inference.
• Forecasting, simulation or optimisation techniques for business challenges.
• Proficient in Python and SQL for data analysis and modelling.
• Familiarity with software development practices including version control and documentation.
• Knowledge of AI tools and generative AI applications.

Responsibilities

• Coordinate data science projects: define business problems, hypotheses, methods, implementations, and results.
• Develop predictive algorithms and models for personalisation, engagement, retention, and monetisation.
• Apply statistical methods including forecasting, simulation, and causal inference.
• Design and evaluate experiments; plan A/B tests and interpret results.
• Build analytical tools: reusable models and simulations to aid decision making.
• Maintain data quality: validate datasets, check assumptions, ensure consistent results.
• Support production solutions with Data Eng, MLOps, and Game Tech teams.
• Share findings and recommendations with collaborators and stakeholders.
• Support team development through peer reviews and knowledge sharing.

Skills

Python

SQL

Statistical analysis

Machine learning

A/B testing

Experiment design

Causal inference

Forecasting

Data analysis

Education

Degree in Data Science / Statistics / Computer Science

Tools

Git

Cloud platforms (GCP/AWS/Azure)

Job description

Product Madness is seeking a Lead Data Scientist to drive statistical analysis, predictive modelling, and ML initiatives across data-rich gaming platforms. You will analyse player behaviour, tackle business problems, and improve player engagement, retention, and monetisation.

You will guide end-to-end ML projects, collaborate with game developers and product teams, design experiments, and build scalable analytical tools to inform strategic decisions.