Lead Data Scientist, Mobile Gaming & Personalization

GamblingCareers.com; Barcelona; On-site; EUR 70,000 - 110,000; Full time

Job summary

Product Madness seeks a Lead Data Scientist to conduct statistical analysis, predictive modelling, and machine learning to understand player behaviour and improve gaming experiences. You will handle ML initiatives from planning to deployment using large datasets to support gameplay, engagement, retention, and monetisation.

You will work with game developers, data analysts, product managers, and operations teams, sharing findings and recommending practical improvements to help teams make

Qualifications

• Degree in data analysis, CS, statistics, or related field.
• At least 3 years in data science with analytical or ML projects.
• Knowledge of statistics, probability, and data analysis.
• Ability to develop, build, assess, and evaluate predictive/ML models.
• Experience with A/B testing, experimental design, and causal inference methods.
• Ability to apply forecasting, simulation, or optimisation techniques to business challenges.
• Skills in Python and SQL for data analysis, modelling, and handling extensive data collections.
• Knowledge of software development practices, including version control, testing, and documentation.
• Familiarity with AI tools and generative AI applications.
• Understanding of ML deployment and monitoring with engineering teams.

Responsibilities

• Coordinate data science projects: define business problems, hypotheses, methods, and measure results.
• Develop predictive algorithms: build, train, test, and improve models for player engagement, retention, and monetisation.
• Apply statistical methods: forecasting, simulation, optimisation, and causal inference.
• Design and evaluate experiments: plan and analyse A/B tests, determine sample sizes, interpret results.
• Build analytical tools: develop reusable models, simulations, and tools for informed decisions.
• Maintain data quality: prepare and validate datasets, inspect data issues, ensure consistent results.
• Support production solutions: collaborate with Data Engineering, MLOps, and Game Technology teams.
• Share findings and recommendations with collaborators and outline practical next steps.
• Support team development: peer reviews, document approaches, and knowledge sharing.

Skills

Python

SQL

A/B testing

Data analysis

Statistics

Experiment design

Education

Degree in Data Science / Computer Science / Statistics

Tools

Git

Job description

Product Madness seeks a Lead Data Scientist to conduct statistical analysis, predictive modelling, and machine learning to understand player behaviour and improve gaming experiences. You will handle ML initiatives from planning to deployment using large datasets to support gameplay, engagement, retention, and monetisation.

You will work with game developers, data analysts, product managers, and operations teams, sharing findings and recommending practical improvements to help teams make