ph3The Story So Far: We’re Building a General Brand in Real Estate /h3 pHuspy is one of the leading property technology companies in EMEA. Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered. We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools. We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone. We’re not slowing down. The question is: will you be part of what’s next? /p h3The Main Event: What You’ll Drive, Build, and Own /h3 ul liReal Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches. /li liMultimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations. /li liData Analysis Experimentation: Use SQL/Python to extract, clean,



and analyze data; design experiments and evaluate model-product impact with robust metrics. /li liModel Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering). /li liCross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions. /li /ul h3The Perfect Match: What It Takes to Succeed at Huspy /h3 ul liProven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs. /li liSQL Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit‑learn, building reliable data pipelines, model training and evaluation. /li liMLOps Fundamentals: Experience deploying/maintaining models (batch or real‑time), versioning, CI/CD basics, observability, and reproducible training. /li liCommunication Ownership: Clear with technical/non‑technical stakeholders; can scope, prioritize, and explain tradeoffs. /li liComfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts). /li liNice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure. /li liAcademic Background: Bachelor’s in STEM (Master’s a plus). /li /ul pBy submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy. /p /p #J-18808-Ljbffr

📌 Data Scientist (Madrid)
🏢 HUSPY
📍 Madrid