Product Madness builds mobile games enjoyed by players across the globe. We use data, technology, and creativity to develop engaging gaming experiences and make informed business decisions. Our teams work together to tackle problems, share ideas, and improve our games. Join us and contribute to the development of mobile gaming experiences. The Role In the role of a Lead Data Scientist, you will conduct statistical analysis, predictive modelling, and machine learning. You will understand player behaviour, tackle business problems, and improve gaming experiences. You will handle machine learning initiatives from initial planning through development, evaluation, and implementation. You will work closely with game developers, data analysts, product managers, and game operations teams. You will share findings, recommend improvements, and help teams use data to make decisions.

What You'll Do
Coordinate data science projects: Build, train, test, and improve models that support personalisation, player engagement, retention, and monetisation. Use statistical analysis, forecasting, simulation, optimisation, and causal inference to answer business questions. Plan and analyse A/B tests, select metrics, resolve sample sizes, and interpret results. Maintain data quality: Prepare and validate datasets, investigate data issues, assess model assumptions, and ensure consistent results. Work with Data Engineering, MLOps, and Game Technology teams to integrate models and analytical solutions into existing systems. What We're Looking For A degree or equivalent experience concentrating on data analysis,



Computer Science, Statistics, Mathematics, Physics, or a related field, demonstrating passion for the subjects. At least 3 years working in data science, with experience delivering analytical or machine learning projects. Knowledge of statistics, probability, and data analysis. Ability to develop, build, assess, and evaluate predictive and machine learning models. Experience with A/B testing, experimental design, hypothesis testing, and causal inference methods. 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. Understanding of machine learning deployment and monitoring, including collaboration with engineering teams. Nice to Have Experience in mobile gaming, digital entertainment, or other consumer-focused products. Familiarity with cloud platforms such as GCP, AWS, or Azure, and machine learning development environments. At Product Madness, you will have the opportunity to apply your data science skills to products used by players around the world. You will work with colleagues across different teams, contribute to product decisions, and develop solutions which improve gaming experiences. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

📌 Senior Data Scientist (España)
🏢 Product Madness Espana
📍 España