At CloudWalk, we’re building the best payment network on Earth (then other planets 🚀). We’re an AI-first fintech unicorn bringing justice to Brazil’s broken payment system. We work in the finance sector, a very traditional niche, but we try to do things differently. Where others see coordinates, we see the spatial DNA of financial behavior.

We’re looking for a data scientist who thinks in geographic dimensions to uncover patterns that protect merchants, detect fraud, and unlock insights hiding in the intersection of place and payments.

The Geospatial Team

• We work with geospatial data from internal and external sources to create ML features and drive business insights
• We research and experiment with new algorithms that are more computationally efficient or can leverage spatial data better
• We do extensive data visualization with maps to uncover spatial insights and patterns
• We value exploration before exploitation—curiosity comes first in spatial analysis
• We believe location is more than coordinates—it’s behavioral context that drives better decisions

What the Job Entails

• Spatial Intelligence: Apply data science techniques to spatial datasets and location-based problems to uncover financial behavior patterns
• Geospatial Model Development: Design and run experiments on different forms of aggregating spatial data and phenomena, then train and validate geospatial models for business applications
• Feature Engineering & Data Enrichment: Create valuable features for ML models by extracting spatial intelligence from geospatial data sources, perform ETL processes, and deliver enriched data to our internal feature market
• Data Pipeline Management: Build and maintain geospatial data pipelines and analytical workflows using modern data science tools
• Spatial Data Discovery & Integration: Continuously explore and evaluate diverse spatial data sources, research new datasets, and develop creative approaches to "spatialize" existing databases by adding geographic dimensions
• Spatial Analysis: Analyze spatial data patterns and develop spatial models and algorithms to solve business problems
• Map-Based Data Visualization: Create compelling data visualizations with maps to discover insights and communicate spatial findings to stakeholders

What you’ll need

• Initiative to learn, investigate, experiment with spatial data and geographic problems
• Strong statistical and machine learning background, with experience applying these methods to spatial data
• Strong experience with map-based data visualization using tools like Plotly, https://kepler.gl, or similar mapping libraries
• Experience working with spatial data formats (shapefiles, GeoJSON, etc.), coordinate systems, and geospatial dataframes using geopandas (Python) OR spatial R packages (sf, sp, etc.)
• Python proficiency (CloudWalk standard) or strong R skills with willingness to adapt to Python workflows
• Strong SQL experience for spatial data queries and analysis
• Ability to communicate and debate in English and Portuguese

Nice to Have

• Background in Geographic Information Systems (GIS) tools and concepts
• Experience with spatial statistics/econometrics and geospatial machine learning methods (e.g. clustering methods like DBSCAN, K-means, hierarchical clustering, or regression methods like GWR, MGWR, SAR)
• Experience with external data sources (IBGE research, OpenStreetMap, government open datasets)
• Experience with Google Cloud Platform
• Experience with MLOps and deploying geospatial models to production environments

Recruiting process outline:

• Online assessment: An online test to evaluate your theoretical skills and logical reasoning
• Technical interview and case presentation
• Cultural interview
If you are not willing to take an online quiz and work on a test case, do not apply.

Diversity and inclusion:

We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.