Data Scientist

The Story So Far: We’re Building a Global Brand in Real Estate 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 three 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 būt 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? The Main Event: What You’ll Drive, Build, and Own Real Estate Market Modeling: Build models applied to challenges such as valuation and 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 and 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, delivering models that move real‑world KPIs. SQL & Python Mastery: Strong in frameworks such as Pandas, NumPy, and Scikit‑learn, building reliable data pipelines, model training and evaluation. MLOps Fundamentals: Experience deploying and maintaining models (batch or real‑time), versioning, CI/CD basics, observability, and reproducible training. Communication & Ownership: Clear with technical and non‑technical stakeholders; can scope, prioritize, and explain trade‑offs. 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. নীতি>Academic Background: Bachelor’s in STEM (Master’s a plus). Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Engineering and Information Technology Referrals increase your chances of interviewing at Huspy by 2x Get notified about new Data Scientist jobs in Denia, Valencian Community, Spain. #J-18808-Ljbffr