What You’ll Drive, Build, and Own
Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta posibilidad? Descúbralo a continuación.

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- 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

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- 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/NumPy/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. xhfqzwm

- Academic Background: Bachelor’s in STEM (Master’s a plus).

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📌 Data Scientist (Ibiza)
🏢 HUSPY
📍 Ibiza