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CARTO is seeking a Senior Data Scientist to merge data science with GIS. The candidate will develop models, conduct experiments, and collaborate with clients to improve spatial data analytics. Ideal candidates will have over 5 years of experience, proficiency in Python and SQL, and a background in geospatial data. Working remotely or from the Madrid office is available.
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Everything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the “where” and the “why” of their business. CARTO CARTO is the leading Location Intelligence platform empowering companies with scalable and cloud-native spatial analytics. CARTO helps organizations make better business decisions by empowering data analysts, business analysts, GIS professionals, and developers with faster, more flexible, and more secure spatial data analysis and visualization tools. Whether through optimizing network planning, assessing risk, identifying growth opportunities, or other use cases, companies benefit from turning their location data into business value.
With an exceptionally diverse team of 150 people spread across the US and Europe, CARTO (backed by Insight Partners, Accel Partners, Salesforce Ventures, and Earlybird Ventures, among others) is changing the way companies analyze location data - making it simple to do this straight out of modern, cloud data warehouses. Redefining its category, the company has grown rapidly in recent years providing a compelling alternative to legacy GIS software.
To continue this growth, the Data Science team is looking for an enthusiastic, experienced and self-motivated Senior Data Scientist to work at the intersection of data science and GIS. In this role, you will be working in the development of new algorithms and derivative datasets that leverage the spatial nature of data to produce more accurate insights and predictions via CARTO’s spatial analytics platform. You will also work with external clients to help solve their spatial data science problems and to bring new functionality to CARTO as a platform. There will be a strong focus on adapting existing machine learning methods to best work with spatial data and exploring new methods from the fields of spatial econometrics, machine learning and Geospatial AI (GeoAI).
The position is open to remote, preferably Central European Time zone. It’s also possible to work from our offices in Madrid or Seville.
You will
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