Data Scientist

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. The Perfect Match: What It Takes to Succeed at Huspy Proven Experience: 4–8 years in applied data science/ML, deliveri...