Data Scientist

• Developing and training ML models to predict LTV (and layer other key metrics).
• Analyzing game and marketing data, identifying player segments, patterns, and growth drivers.
• Designing, maintaining, and interpreting A/B tests.
• Generating hypotheses, validating them, and proposing new ideas to improve the product and its monetization.
• Collaborating with product, marketing, monetization teams.

• At least 2-4 years of experience in Data Science in mobile analytics.
• Proficiency in Python (pandas, NumPy, scikit-learn, SciPy, etc.).
• Strong SQL skills (complex queries, window functions, CTEs).
• Sound knowledge of statistics (A/B testing).
• Experience building ML models (predictions, classifications) for LTV forecasting.
• Understanding of mobile attribution processes and event structures (AppsFlyer, AppLovin MAX).

• Flexible schedule;
• Medical insurance (including dental care);
• 5 paid sick days;

• English courses;
• Sports reimbursement program;
• Referral program.