👉 Senior Data Scientist

🟣You will be: • analysing large scale search, booking, and behavioural datasets to identify patterns impacting conversion, margin, and user relevance, • designing, training, validating, and iterating machine learning models for ranking and recommendation use cases,  • developing margin aware, conversion aware, and relevance based scoring models aligned with defined business KPIs,  • experimenting with semantic relevance and embedding based approaches for intent driven search, • defining features, evaluating data quality, and collaborating on feature readiness for ML training,  • runing and interpreting offline evaluations and online experiments, including A B testing and shadow mode validation,  • monitoring model performance, data drift, and retraining needs in production,  • collaborating closely with data engineers and platform engineers to productionise models and ensure scalability,  • documenting assumptions, results, and trade offs to support knowledge transfer and long term maintainability. 🟣 Your profile: • ready to join within 2 weeks, • strong experience in applied data science and machine learning on real world datasets, • solid understanding of ranking, optimisation, or recommendation problems, • experience working with transactional and behavioural data, • proficiency in Python for data analysis and model development, • experience with experimentation, validation, and performance measurement of ML models, • understanding of overfitting, bias, and model generalisation, • ability to work closely with engineers to deploy models into production environments, • practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, • exposure to Snowflake based analytics or ML workflows. Work from the European Union region and a work permit are required. 🟣 Nice to have: • experience working in environments with business KPI guardrails such as margin, conversion, or NPS, • experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. 🟣 Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Hiring Manager call – Decision    🎁 Benefits 🎁 ✍ Development: • development budgets of up to 6,800 PLN, • we fund certifications e.g.: AWS, Azure, • access to Udemy, O'Reilly (formerly Safari Books Online) and more, • events and technology conferences, • technology Guilds, • internal training, • Xebia Upskill. 🩺 We take care of your health: • private medical healthcare, • multiSport card - we subsidise a MultiSport card, • mental Health Support. 🤸‍♂️ We are flexible: • B2B or employment contract, • contract for an indefinite period.