Data Scientist: Predictive ML for Player Retention

the hive; Barcelona; On-site; EUR 65,000 - 95,000; Full time

Job summary

Product Madness is seeking a Data Scientist to analyze player behaviour, forecast outcomes, and build predictive models for games and monetization. You will collaborate with developers, analysts, and product teams to translate data into actionable insights and personalised experiences for players.

The role involves exploring datasets, developing analytical tools, and contributing to experiments and ML solutions that impact retention and revenue across mobile games.

Qualifications

• MSc or PhD in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience.
• 1+ years of professional experience in data science, machine learning, or quantitative analytics, delivering analytical or modelling projects.
• Strong foundation in statistics, probability, descriptive analysis, and statistical inference.
• Experience with exploratory data analysis, data preparation, and large datasets.
• Experience developing and evaluating predictive or machine learning models (regression, classification, clustering).
• Understanding of statistical modelling, forecasting, and simulation techniques.
• Familiarity with hypothesis testing, A/B testing, and experimental analysis.
• Proficiency in Python for data analysis with libraries such as pandas, NumPy, scikit-learn.
• Ability to write SQL queries to extract and transform data.
• Basic understanding of software development practices (version control, testing, documentation).
• Experience using AI assistants to support coding and analysis with validation.

Responsibilities

• Explore business challenges, develop hypotheses, and deliver data-driven solutions with guidance.
• Develop, test, and improve predictive algorithms and AI techniques to enhance player experiences, engagement, retention, and revenue.
• Apply statistics, forecasting, predictive modelling, and simulation to understand player behaviour and business performance.
• Support A/B testing by selecting metrics, analysing results, and sharing findings for decisions.
• Create analytical models, simulations, and tools for informed decision-making.
• Prepare and explore large datasets to uncover trends and insights for business goals.
• Collaborate with senior data scientists, Data Engineering, and MLOps to deploy models into processes.
• Share findings with stakeholders, explain insights and limitations, and offer practical recommendations.
• Document work and participate in peer reviews to develop technical skills.

Skills

Python

SQL

Statistics

Machine learning

Data visualization

Experimentation

Communication

Education

MSc or PhD in Data Science or related

Tools

pandas

NumPy

scikit-learn

Job description

Product Madness is seeking a Data Scientist to analyze player behaviour, forecast outcomes, and build predictive models for games and monetization. You will collaborate with developers, analysts, and product teams to translate data into actionable insights and personalised experiences for players.

The role involves exploring datasets, developing analytical tools, and contributing to experiments and ML solutions that impact retention and revenue across mobile games.