TL;DR
Data Scientist (ML Models): Building models for real estate market challenges such as valuation and pricing, leveraging classical and advanced ML techniques. Focus on creating multimodal embeddings and partnering with cross-functional teams to translate business problems into scalable ML solutions.
Location: Remote (Amsterdam, Astana, Banja Luka, Bengaluru, Bucharest, Budapest, Lisbon, London)
Company
hirify.global is a property technology company in EMEA, operating in multiple cities across the UAE and Spain and expanding into Saudi Arabia and more European markets.
What you will do
- Build real estate market models applied to challenges such as valuation and pricing.
- Create vector representations of Real Estate entities to power search, matching, and recommendations.
- Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact.
- Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD in partnership with engineering.
- Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.
Requirements
- 4–8 years in applied data science/ML, delivering models that move real-world KPIs.
- Strong SQL & Python skills, with frameworks such as Pandas/NumPy/Scikit-learn.
- Experience deploying/maintaining models, versioning, CI/CD basics, and observability.
- Clear communication with technical/non-technical stakeholders.
- Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics.
- Bachelor’s in STEM (Master’s a plus).
Nice to have
- Software engineering experience.
- Multimodal/vision experience.
- Voice AI (ASR/NLU) exposure.
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