👉 Lead Data Scientist

🟣 You will be: • designing and developing statistical models for property price adjustments across time, location, quality, and condition, • building spatial algorithms (adaptive heatmaps, geographic clustering, polygon-based property search) to capture local market dynamics, • implementing comparable property recommendation with feature engineering across different property types, • developing market analysis pipelines with solid diagnostics: trend fitting, outlier detection, goodness-of-fit metrics, • integrating LLM-based classification services for document and property analysis, • exposing model outputs through production API endpoints and working with frontend engineers on data contracts, • debugging models in production: edge cases, numerical issues, data quality problems. 🟣 Your profile: • solid statistics background: regression, GAMs, mixed/random effects, link functions, robust estimation, outlier handling, • proficiency in Python and the data science stack: NumPy, Pandas, statsmodels, SciPy, scikit-learn, • experience building and maintaining production APIs with FastAPI and Pydantic, • comfortable working with PostgreSQL and SQLAlchemy, • familiar with containerized environments (Docker, Kubernetes, GCP), • able to turn domain requirements into quantitative solutions and communicate trade-offs, • good command of English (spoken and written), • familiarity with basic statistical concepts (e.g., Bayes’ rule, linear regression, maximum likelihood estimation, • practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. 🟣 Nice to have: • geospatial data and libraries (GeoPandas, Shapely, H3, GeoAlchemy2), • GAM libraries (PyGAM), JAX, or TensorFlow Probability, • task queues and async workflows (Celery, Redis), • observability tooling (OpenTelemetry), • ML pipeline frameworks (Kedro), • data validation and property-based testing (Pandera, Hypothesis, TestContainers), • R integration (rpy2), • LLM integrations (Google Gemini or similar), • frontend awareness (React, TypeScript), • real estate data, valuation methodology, or appraisal workflows. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: • development budget of up to 6,800 PLN, • we fund certifications e.g.: AWS, Azure, ISTQB, PSM, • access to Udemy, Safari Books Online and more, • events and technology conferences, • technology Guilds, • internal training, • Xebia Library, • Xebia Upskill. 🩺 We take care of your health: • private medical healthcare, • multiSport card - we subsidise a MultiSport card, • mental Health Support. 🤸‍♂️ We are flexible: • flexible working hours, • B2B or permanent contract, • contract for an indefinite period.