<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>The Story So Far: We’re Building a Global Brand in Real Estate<br/><br/></strong>Huspy 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.<br/><br/>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.<br/><br/>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.<br/><br/>The question is: will you be part of what’s next?<br/><br/><strong>The Main Event: What You’ll Drive, Build, and Own<br/><br/></strong><ul><li>Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.</li><li>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.</li><li>Data Analysis &amp; Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.</li><li>Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).</li><li>Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.<br/><br/></li></ul><strong>The Perfect Match: What It Takes to Succeed at Huspy<br/><br/></strong><ul><li>Proven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs.</li><li>SQL &amp; Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.</li><li>MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.</li><li>Communication &amp; Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.</li><li>Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).</li><li>Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.</li><li>Academic Background: Bachelor’s in STEM (Master’s a plus).<br/><br/></li></ul>By 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. </div>