👉 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.