As one of our Games Data Scientists you will be the business facing mastermind who helps turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques – frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, Monte‑Carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively.

Games Data

Scientists are true visionaries who support business decisions with data and in-depth analytics.

You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop.

What You’ll Do

Discuss with stakeholders requirements for analysis

Run exploratory data analysis and turn it into questions which can be answered with analytical techniques

Use simple analytics, statistical or causal inference,



machine learning or any other techniques to answer questions and address problems

Communicate results clearly and effectively

Take care of unclear and ambiguous requirements

Communicate complex ideas and analyses in a simple way

Work independently on complex projects

Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science

Be able to use diverse data science tools and approaches

What We’re Looking For A degree or equivalent work experience in a data‑driven field

Ability to use visualization techniques for communicating data and analysis

Experience of using any of the following to answer business or scientific questions – statistics, mathematics, machine learning, econometrics, causal techniques, Monte‑Carlo modelling, etc.

R/Python experience

Knowledge and experience of SQL

Travel Expectations None

Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full‑time basis without the need for current or future visa sponsorship.

📌 Data Scientist (Madrid)
🏢 Product Madness
📍 Madrid