Senior Data Scientist

Everything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the “where” and the “why” of their business. 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 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**
- Design and run novel data science experiments leveraging CARTO’s Data Observatory and the capabilities of the most advanced technologies to further develop CARTO’s Analytics Toolbox and CARTO Workflows.
- Participate in all phases of the Data Science product lifecycle (exploratory data analysis, model development, model productionizing, rollout, and evaluation).
- Lead research activities for new Spatial Data Science methods that drive activity on our platform, scale our business, and enhance the user experience.
- Collaborate with engineering and product leaders, to frame and tackle a problem, both technically and within a business context.
- Communicate rationale and findings from analyses to facilitate operational decisions for our clients.
- Present your work both to internal decision makers and at conferences, meetups, and leading workshops around spatial data science.
- Keep up to date on new developments from industry and academia and presenting and educating the wider company at CARTO.

**You Offer**
- Education in relevant fields and +5 years of experience working in Data Science, with substantial exposure to diverse use cases, techniques, and technologies.
- Advanced proficiency in coding skills relevant to Data Science, especially in SQL and Python. A proven ability to rapidly learn new technologies when required.
- Proven track record working with clients and other stakeholders to translate business problems into Data Science workflows.
- Experience working with geospatial data.
- Hands-on experience working with Google Cloud, AWS, and/or Azure ecosystems, and platforms like Google BigQuery, Snowflake, Databricks, AWS Redshift, etc.
- Strong verbal and written communication skills to explain both technical and business concepts. Presentation skills are essential.
- Fluency in English.

**Bonus Points For**
- Experience with working with GIS software: CARTO, QGIS, ArcGIS, Kepler.gl, etc.
- Experience developing production-quality data products using the results of quantitative research.

**We offer**
- Competitive, results-based compensation
- Access to our employee stock options plan
- Private medical insurance
- Flexible work hours in a focused but casual environment
- Education Stipend
- English classes
- A big vision: to help the world use location-based data to make better decisions. We believe that openness and sustainability are baked into this vision, and we’re sharing it with the world.
- Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients.

**To apply**

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