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 J-18808-Ljbffr