Data Scientist

Huspy; Riyadh; On-site; SAR 262,000 - 338,000; Full time

Job summary

A leading property technology company is seeking a mid-senior level Data Scientist to drive innovation in real estate through advanced machine learning. The successful candidate will have 4–8 years of experience and excellent skills in SQL and Python. Responsibilities include model building and data analysis for market challenges. This full-time role offers the opportunity to shape the future of home buying in emerging markets like Saudi Arabia.

Qualifications

• 4–8 years in applied data science/ML with effective impact on KPIs.
• Strong experience in building reliable data pipelines.
• Familiarity with model deployment fundamentals.

Responsibilities

• Build models for real estate market challenges.
• Create vector representations of real estate entities.
• Use SQL/Python for data analysis and experimentation.

Skills

SQL & Python Mastery

Proven Experience in data science/ML

Communication Skills

Comfortable with uncertainty

Education

Bachelor's in STEM

Master's (a plus)

Tools

Pandas

NumPy

Scikit-learn

Job description

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 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?

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, delivering models that move real-world KPIs.
• SQL & Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn…building reliable data pipelines, model training and evaluation.
• MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.
• Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.
• 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.
• 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