What You’ll Drive, Build, and Own Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches. Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations. Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data;
design experiments and evaluate model-product impact with robust metrics. Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering). Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions. The Perfect Match: What It Takes to Succeed at Huspy Proven Experience: 4–8 years in applied data science/ML,



delivering models that move real-world KPIs. SQL & Python Mastery: Strong in frameworks such as Pandas/Num Py/Scikit-learn...Building reliable data pipelines, model training and evaluation. MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training. Communication & Ownership: Clear with technical/non-technical stakeholders;
can scope, prioritize, and explain tradeoffs. Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts). Nice to Have: Software engineering experience;
multimodal/vision experience;
voice AI (ASR/NLU) exposure. Academic Background: Bachelor’s in STEM (Master’s a plus). #J-18808-Ljbffr

📌 Data Scientist (Ibiza)
🏢 HUSPY
📍 Ibiza