Data Analyst / Scientist

Description: Seeking a Data Scientist to transition marketing decisions from classic ROAS to predicted ROAS. Focus on building and developing a predictive LTV system for traffic acquisition, channel scaling, and budget planning. Requirements: 3+ years of experience in Data Science or analytics with predictive models. Strong proficiency in Python (pandas, scikit-learn, LightGBM) and SQL. Fundamental knowledge in statistics and ML: model validation, quality metrics selection, uncertainty assessment. Experience in deploying models: reproducibility, versioning, retraining, and monitoring. Ability to translate models into decision-making tools and explain results to non-technical stakeholders. Bonus: Experience with subscription and payment data, incrementality experiments, BigQuery, and dbt. Benefits: Real ownership of models that directly influence marketing budget investments. Focused role on model quality and development without distractions from technical setups or BI reporting. Direct visibility of impact from work results. Remote-first work environment with optional office presence in Warsaw and Kyiv. 18 days off per year and 3 fully paid sick leave days, plus unlimited sick leave with 70% compensation. Regular performance reviews for transparent development and recognition of results. Full support for Ukrainian FOP.