Requirements

Expected technologies

Python

SQL

Tableau

Microsoft Power BI

Our requirements

• Bachelor's or Master’s degree in a quantitative field (e.g., Computer Science, Mathematics, Physics, Statistics).
• Minimum 2 years of experience in data science, data analytics, or a similar analytical role.
• High level of initiative and result orientation, ability to work independently, and a strong sense of ownership.
• Strong analytical and critical thinking skills, with the ability to turn complex data into simple and impactful insights.
• Strong coding skills in Python (experience with relevant libraries such as numpy, pandas, scikit-learn).
• Proficiency in writing and optimizing SQL queries.
• Solid hands-on experience in machine learning techniques (e.g., regression, classification, clustering) and statistical methods.
• Experience working with large datasets and data visualization tools (e.g., Tableau, Power BI, or similar).
• Fluency in Polish and English (minimum B2).

Optional

• Experience in the gaming or mobile app industry.
• Knowledge of A/B testing frameworks and experimentation design.
• Interest in game design and understanding player psychology.

Your responsibilities

• Identifying opportunities to apply data science and machine learning to improve game performance, monetization, and player retention.
• Collaborate with development and production teams, analyzing game aspects like performance, retention, churn rate, and more.
• Writing complex SQL queries and transforming raw data into actionable insights.
• Setting KPIs and initiating hypotheses for A/B tests that aim at the optimization of income during the whole life cycle of players’ life.
• Proactively share insights with the game team, suggest process improvements, and shape analytics practices.
• Creating and maintaining clear, interactive dashboards and decision-support tools.
• Developing robust data pipelines and feature engineering processes in collaboration with data engineering teams.