Data Scientist

• Побудувати аналітичну функцію: вибудувати чисту й надійну структуру даних, зробити репортинг точним і швидким;
• Взяти на себе стратегічну роль — не просто закривати задачі, а формувати vision розвитку аналітики та задавати напрямок команді;
• Забезпечити аналітичною підтримкою одразу кілька напрямків — маркетинг та продукт;
• Впровадити систему моніторингу ключових бізнес-метрик, яка дозволить бізнесу реагувати на зміни швидше;

Head of Analytics

• Build, validate, and ship predictive models that drive the business: churn prediction, LTV forecasting, propensity and uplift modelling, and recommendation
• Own end-to-end ML workflows: feature engineering, model development, evaluation, deployment, and monitoring
• Monitor models in production and retrain or adjust them as the product and user base evolve
• Explore where AI/ML creates real product value as the company expands into AI-powered products
• Design and analyse experiments (A/B tests, uplift, causal inference), bringing rigour to how we measure impact and reduce variance
• Help shape the experimentation framework and modelling standards as foundations for the wider team
• Handle user-level data responsibly: privacy-aware feature engineering, avoiding leakage of sensitive attributes, and compliance with data-use policies
• Partner with Data Engineers to productionise models with reliable feature pipelines and, where useful, a feature store
• Translate model output into clear, actionable recommendations for Product, Growth, and leadership — tying work back to company goals

Data Scientist – Early Hire, Full Model Ownership, B2C SaaS

• Explore large-scale event data to identify trends, patterns, and anomalies
• Analyze data to support decision-making
• Design, implement, optimize and test algorithms for CPA optimization
• Build and refine predictive models for CPA campaigns
• Collaborate with product/business/tech teams to turn findings into actionable decisions
• Conduct and evaluate A/B tests
• Create dashboards and visualizations to track KPIs

Data Scientist / Algorithm Engineer – AdTech

• Розвиток вже наявних моделей і їх сервісів (антифрод, оцінка маркетингу, модерація);
• Співпраця з аналітиками, DE-спеціалістами та іншими інженерами для побудови складних ML-пайплайнів;
• End-to-end розробка і впровадження нових ML-сервісів;
• Забезпечення якості пайплайнів тренування та тестування моделей;
• Розробка і впровадження систем моніторингу роботи моделей;

• Drive advanced analytics, causal reasoning, and AI-powered decision intelligence across multiple use cases within our AI portfolio
• Build production-grade systems that combine predictive, causal, and generative AI capabilities
• Design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI into real-time or near-real-time decision-making pipelines
• Collaborate closely with data engineers, ML engineers, analysts, and platform teams
• Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
• Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
• Build reusable modeling frameworks that can scale across multiple domains
• Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
• Translate observational and experimental data into actionable business insights
• Embed causal reasoning into decision systems that guide actions

Data Scientist jobs in Ukraine

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Head of Analytics

Data Scientist – Early Hire, Full Model Ownership, B2C SaaS

Data Scientist / Algorithm Engineer – AdTech

Data Scientist

Senior Data Scientist