Data Scientist (Geospatial)
Data Scientist (Geospatial)
Posted on :
24-08-2025
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1 Vacancy
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Job Description
At CloudWalk were building the best payment network on Earth (then other planets ). Were an AI-first fintech unicorn bringing justice to Brazils 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.
Were 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 exploitationcuriosity comes first in spatial analysis
- We believe location is more than coordinatesits 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 youll 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 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.
Employment Type
Full-Time
Key Skills
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