Data Scientist

Data Science Machine Learning SQL Python Data Analysis Communication

Educación

Bachelor's in STEM Master's in STEM

Herramientas

Pandas NumPy Scikit-learn Descripción del empleo The Main Event: 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.

Huspy in Palma, Islas Baleares is seeking a Data Scientist with a strong background in machine learning and data analysis. You will drive the development of real estate market models, using SQL and Python to analyze data and deliver impactful solutions.

The ideal candidate has 4-8 years of applied experience, proficiency in frameworks like Pandas and Scikit-learn, and excellent communication skills. Join us to help innovate in the real estate sector.

Formación

• 4-8 years in applied data science or ML experience.
• Proficient in SQL and Python, especially in data pipelines.
• Understanding of MLOps fundamentals for model deployment., * Build real estate market models for valuation and pricing.
• Create multimodal embeddings for real estate listings.
• Utilize SQL/Python for data extraction and analysis., * 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.
• Academic Background: Bachelor's in STEM (Master's a plus).