Senior Data Scientist

Barcelona, Spain | Nov. 13, 2026

Report as Closed

Company: Aristocrat

Country: Spain

Type: Onsite

Employment: Part-time

Description:

Product Madness develops mobile games enjoyed by players around the world. We use data, technology and creativity to develop engaging gaming experiences and make informed business decisions.

Our teams work together to solve problems, share ideas and improve our games. Join us and contribute to the development of mobile gaming experiences.

As a Senior Data Scientist, you will perform statistical analysis, predictive modeling and machine learning. You will understand player behavior, address business issues, and improve gaming experiences.

You will lead machine learning initiatives from initial planning through development, testing, and deployment. Working with large data sets, you will develop models and analytical tools that support gameplay, player engagement, retention and monetization.

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: Define business problems, develop hypotheses, select analytical methods, build solutions, and measure results.
• Develop predictive algorithms: Build, train, test, and improve models that support personalization, player engagement, retention, and monetization.
• Apply statistical methods: Use statistical analysis, forecasting, simulation, optimization, and causal inference to answer business questions.
• Design and evaluate experiments: Plan and analyze A/B tests, select metrics, resolve sample sizes, and interpret results.
• Build analytical tools: Develop reusable models, simulations, and tools that help teams make informed decisions.
• Maintain data quality: Prepare and validate data sets, investigate data issues, evaluate model assumptions, and ensure consistent results.
• Support production solutions: Work with Data Engineering, MLOps, and Game Technology teams to integrate models and analytical solutions into existing systems.
• Share findings and recommendations: Explain analytical results, assumptions, and limitations to collaborators and recommend practical next steps.
• Support team development: Participate in peer reviews, document approaches, share knowledge, and provide guidance to colleagues.

What We Are Looking For

• A degree or equivalent experience focused on data analysis, Computer Science, Statistics, Mathematics, Physics or a related field, demonstrating a passion for these topics.
• At least 3 years of experience working in data science, with experience delivering analytical or machine learning projects.
• Knowledge of statistics, probability and data analysis.
• Ability to develop, build, evaluate, and evaluate predictive and machine learning models.
• Experience with A/B testing, experimental design, hypothesis testing, and causal inference methods.
• Ability to apply forecasting, simulation, or optimization techniques to business challenges.
• Skills in Python and SQL for data analysis, modeling, and handling large data collections.
• Knowledge of software development practices, including governance. of releases, testing, and documentation.
• Familiarity with AI tools and generative AI applications.
• Understanding of implementing and monitoring machine learning, including collaboration with engineering teams.

We value

• Experience in mobile gaming, digital entertainment, or other consumer-facing products.
• Knowledge of recommendation systems, reinforcement learning, modeling Bayesian, stochastic simulation, or time series forecasting.
• Experience building analytical tools or applications for business teams.
• Familiarity with cloud platforms such as GCP, AWS or Azure, and machine learning development environments.

Compensation Philosophy

We offer a comprehensive compensation and benefits package designed to remain competitive in the market, 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.

This job description may have been reviewed and optimized using artificial intelligence tools in order to improve its clarity, consistency and inclusivity. In any case, all final content, position requirements and hiring decisions are subject to Aristocrat's review and approval.

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