Senior Data Scientist

Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. 3+ years of experience as a Data Scientist, preferably in the gaming or tech industry. Strong analytical and problem-solving mindset. Experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar). Strong hands-on experience with SQL for complex queries and data wrangling. Solid data visualization skills (Tableau/Power BI, Python). Advanced skills in Python for data analysis. Solid understanding of experimental design and statistical testing (A/B testing, hypothesis testing, confidence intervals). Familiarity with causal inference techniques and predictive modeling techniques. English B2+

Analyze large volumes of game and player data to identify patterns, trends, and dynamics. Translate findings into practical recommendations for product improvements. Perform deep-dive investigations into performance anomalies or game features. Design, build, and deploy ML models (e.g., churn prediction, LTV forecasting). Own the full ML lifecycle: feature engineering, model training, validation, monitoring, retraining. Collaborate with engineering teams to ensure seamless data pipelines and efficient model serving. Establish best practices for ML monitoring. Develop robust statistical and causal inference analyses. Define and develop M/L models to resolve complex tasks of LTV, Churn Prediction, Revenue Forecasting etc. Support development and testing of predictive models through A/B tests. Communicate complex insights in a simple, compelling way. Help define metrics for new products or features.