Data Scientist

Barcelona, Spain | Nov. 13, 2026

Report as Closed

Company: Aristocrat

Country: Spain

Type: Onsite

Employment: Part-time

Description:

At Product Madness, we create mobile games that entertain players around the world. Data plays an important role in understanding player needs, improving gaming experiences, and making informed business decisions.

Join our collaborative team, where your insights and experience will help us explore new opportunities, solve significant challenges, and shape the future of mobile gaming.

As a Data Scientist at Product Madness, you'll use data analytics, forecasting, and predictive models to better understand player behavior, solve business challenges, and improve customer experiences. game.

You will contribute to projects dedicated to player engagement, retention, and revenue generation. You will also help develop analytical tools and machine learning solutions that support informed decisions and create more personalized experiences for our players.

Working with a variety of data sets, you will be responsible for clearly defined modeling and analytical tasks while learning from data scientists with experience on more complex projects. You will collaborate with game developers, data analysts, product managers, and game operations teams to translate data into valuable insights and actionable improvements.

What You'll Do

• Explore business challenges, develop hypotheses, choose appropriate analytical methods, and deliver data-driven solutions with the support of experienced colleagues when necessary.
• Develop, test, and improve predictive algorithms and artificial intelligence techniques to improve experiences, engagement, player retention and revenue.
• Apply statistical analysis, forecasting, predictive models, and simulations to understand player behavior and business performance.
• Support A/B testing and experiments by selecting relevant metrics, analyzing results, and sharing findings that guide business decisions.
• Create analytical models, simulations, and tools that help teams make informed decisions and find opportunities for improvement.
• Prepare, validate and explore large data sets to discover trends, patterns, and insights that support business objectives.
• Work with senior data scientists, Data Engineering teams, and MLOps to develop and integrate analytical models and machine learning solutions into business processes.
• Share findings with collaborators, explain key insights and limitations, and offer actionable recommendations.
• Contribute to a supportive team environment by documenting your work, participating in peer reviews, sharing knowledge, and developing your skills.

What We're Looking For

• MSc or PhD in Data Science, Computer Science, Statistics, Physics, Mathematics or a related quantitative field, or equivalent experience.
• More than 1 year of professional experience in data science, machine learning or quantitative analysis, with practical experience delivering analytical or modeling projects.
• Strong foundation in statistics, probability, descriptive analysis and statistical inference.
• Practical experience in exploratory data analysis, data preparation, and working with large data sets.
• Experience developing and evaluating predictive or machine learning models, including regression, classification, or clustering.
• Understanding of statistical modeling techniques, forecasting, and simulations.
• Familiarity with hypothesis testing, split testing, and experimental analysis.
• Working knowledge of Python for data analysis and modeling, including common libraries such as pandas, NumPy, and scikit-learn.
• Ability to write SQL queries to extract, join, transform, and aggregate data.
• Basic understanding of software development practices, including version control, testing, and documentation.
• Experience using AI assistants to support coding, analysis and other professional tasks, with appropriate validation of results.

If you are passionate about demonstrating data science to create exceptional gaming experiences and are ready to lead data products to success, we want to hear from you. Join Product Madness and contribute to the evolution of mobile gaming!

Compensation Philosophy

We offer a comprehensive compensation and benefits package designed to remain competitive in the marketplace, support your well-being, and recognize your contribution to our success. Our approach is based on a pay-for-performance philosophy, rewarding individual impact. Your specific compensation package will be determined based on factors such as your skills, experience, qualifications, and location.

Depending on your position and location, you may be eligible for annual bonuses and incentives, health and wellness benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

Specific details regarding compensation and benefits for this position will be discussed during the application process. selection.

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