👉 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.