Data Scientist

About the role

As a Data Scientist you will work with massive streams of player data from globally played games. You will turn player behaviours into actionable insights and machine‑learning models that directly influence game experience and business performance.

Key responsibilities

• Analyse large‑scale player data in a fast‑paced gaming environment and translate findings into clear recommendations.
• Perform advanced feature engineering using data from the company’s data warehouse.
• Prototype and evaluate machine‑learning models to improve existing performance baselines.
• Develop internal tracking, prediction pipelines and monitoring systems.
• Enhance experimental capabilities through robust experimental design, causal inference and A/B testing.

Required profile

• First full‑time professional experience in tech, gaming or a related industry.
• Product‑ and business‑oriented mindset with the ability to connect data work to real game impact.
• Comfortable presenting complex topics to non‑technical stakeholders and translating insights into actionable recommendations.

Required skills

• Proficiency in Python (pandas, numpy, scikit‑learn, matplotlib, seaborn).
• Strong SQL skills.
• Experience with Git and machine‑learning workflows, including experimental design and statistical methods.
• Ability to work with large‑scale data sets.

What we offer

• Hybrid work model (2 days remote per week).
• Opportunities to grow into senior positions with increasing project ownership.