RED Atlas is Latin America's leader in real estate data, news, and insight, leveraging technology to connect real estate professionals to accurate property and market information. Our innovative use of artificial intelligence, machine learning, and user-generated data collection processes creates a comprehensive, property-level data system that serves as the backbone for real estate information in our markets. Our automation focus allows us to distribute information affordably to a wide range of users, including individuals, organizations, and governments. RED Atlas helps streamline workflows, enhance decision-making, and provide detailed insights into property markets, supporting efficient, data-driven real estate operations.
About This Role
We're seeking an exceptional Senior Data Scientist to join our high-performing team in revolutionizing how real estate data is processed, analyzed, and delivered across Latin America. You'll play a crucial role in developing and deploying machine learning solutions that process millions of property records, automate data extraction from diverse sources, and generate actionable insights for real estate professionals.
This is an opportunity to work at the intersection of real estate, AI, and big data, where your contributions will directly impact how markets operate and how professionals make decisions across multiple countries.
Key Responsibilities
Design, develop, and deploy machine learning models for property valuation, document classification, data extraction, and market prediction.
Build and optimize data processing pipelines that handle large-scale real estate datasets
Implement and maintain ML models in production using MLflow and containerized deployments
Develop robust data pipelines for ingesting, processing, and transforming data from multiple sources
Work with geospatial data (PostGIS) to analyze property locations, boundaries, and market areas
Optimize database performance and design efficient data architectures on GCP infrastructure
AI-Powered Solutions
Leverage LLMs and generative AI for document understanding, information extraction, and data enrichment
Build intelligent systems that automate manual data collection and validation processes
Develop APIs and endpoints to serve model predictions and data products
Cross-Functional Collaboration
Partner with product, engineering, and business teams to identify opportunities where data science can drive value
Translate complex technical concepts into actionable insights for non-technical stakeholders
Mentor junior team members and contribute to best practices
Stay current with emerging technologies in ML, AI, and data science
Propose and implement innovative solutions that push beyond what's explicitly asked
Drive measurable business impact through data-driven decision making
Required Qualifications
Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field (or equivalent practical experience)
5+ years of professional experience in data science, machine learning, or related roles
Technical Proficiency
Strong programming skills in Python (pandas, numpy, scikit-learn, TensorFlow/PyTorch)
Advanced SQL skills and experience with relational databases (PostgreSQL)
Hands-on experience with machine learning model development and deployment
Experience with cloud platforms (GCP preferred, AWS/Azure acceptable)
Familiarity with version control (Git) and collaborative development workflows
Core Competencies
Proven track record of deploying ML models to production
Strong problem-solving abilities and analytical thinking
Excellent communication skills for technical and non-technical audiences
Self-starter with ability to work independently and as part of a team
Preferred Qualifications
Experience with geospatial data and GIS tools (PostGIS, QGIS)
Knowledge of MLOps practices and tools (MLflow, Kubeflow, or similar)
Experience with containerization (Docker, Kubernetes)
Familiarity with LLMs and generative AI applications (OpenAI, Anthropic, Vertex AI)
Background in real estate, proptech, or related industries
Experience building and maintaining data APIs and endpoints
Linux/Unix command line proficiency
Experience with big data technologies (Spark, Airflow, or similar)
Background in B2B SaaS products
Familiarity with Latin American markets
Technical Stack
You’ll be working with modern, industry-standard tools including:
Languages: Python, SQL
Tools: Git, Jupyter, VS Code
What We’re Looking For
Take initiative and go beyond what's explicitly asked
Thrive in fast-paced, dynamic environments
Are passionate about using technology to solve real-world problems
Demonstrate ownership and accountability for their work
Continuously learn and adapt to new technologies
Deliver high-quality work with attention to detail
Can balance perfection with pragmatic shipping
What We Offer
Competitive compensation with performance-based bonuses tied to results and company impact
Hybrid work flexibility - balance between office collaboration and remote work
Opportunity to work on cutting-edge AI/ML applications at scale
Direct impact on products used across Latin American real estate markets
Collaborative, high-performing team environment
Professional development and growth opportunities
Work with modern tech stack and latest tools
Seniority level: Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Real Estate, Technology, Information and Internet
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