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Senior Data Scientist — Buenos Aires

About RED Atlas

RED Atlas is building the data infrastructure powering real estate transactions across Latin America. Often described as the "Bloomberg terminal for Latin American real estate," we operate a proprietary multi-source property data platform covering Puerto Rico, Colombia, Argentina, and Spain, serving enterprise clients through an API-first model alongside our professional platform, Atlas Professional. We hold three issued US patents covering our AI-powered search, multi-modal data processing, and geographic segmentation technology.

Headquartered in San Juan, Puerto Rico, with our engineering hub in Buenos Aires.

The Role

This is a full-time, on-site role based in our Buenos Aires office, working directly with our scraping, platform, and data science teams. You'll report into our Head of Data Science and take ownership of some of the most technically demanding problems in our stack: our AI-powered AVM (Automated Valuation Model), multi-source data ingestion and resolution, and address/geometry cleansing systems that turn messy municipal, MLS, and scraped data into a single coherent property graph across four countries.

This is not a dashboard-building role. We're looking for someone who can architect models end-to-end, push back on bad assumptions, and grow into a technical leader as we scale toward Series A and beyond.

What you'll actually do

- Design, ship, and monitor production ML models — valuation, entity resolution, address normalization, geographic segmentation
- Partner closely with the scraping team to improve data quality upstream, and with the platform team to ship models behind our enterprise APIs
- Own the experimental pipeline:



hypothesis → prototype → evaluation → production → monitoring
- Work with messy, multilingual, multi-jurisdictional real estate data (this is the hard and interesting part)
- Contribute to patent-worthy R&D; — we have three issued US patents and an active pipeline

What we're looking for

- 5 years of applied data science or ML engineering experience, with models you've shipped to production (not just notebooks)
- Deep Python proficiency; comfort with the modern ML stack (scikit-learn, PyTorch or TensorFlow, XGBoost/LightGBM)
- Strong SQL and experience working with large, messy datasets at scale · Solid grounding in statistics — you can explain why your model works, not just that it does
- Experience with geospatial data, NLP, or entity resolution is a significant plus
- Experience with real estate, fintech, or any domain involving noisy multi-source data is valued
- MSc or PhD in Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field — or equivalent demonstrated experience
- Fluent English (written and spoken); our engineering team operates in English, but most of the BA hub speaks Spanish day-to-day

What makes someone great here

- You've been the person who figured out why a production model silently degraded
- You read papers but are skeptical of complexity for its own sake
- You can disagree with an engineer, a PM, or the CEO and make your case with data
- You want to grow into technical leadership

Compensation & logistics

- Base salary: USD $50,000 – $90,000 depending on experience
- Meaningful equity grant
- On-site at our Buenos Aires office, 4-5 days a week — we believe engineering and data science teams ship better work in person, especially at our stage

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pz5rk

📌 Senior Data Scientist (Buenos Aires)
🏢 RED Atlas
📍 Buenos Aires