Job description

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, 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.

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