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Senior Data Scientist

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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

Build data science models, developing creative solutions to solve our customers' more complex business problems (statistical and machine learning predictive models, with a focus on spatial models, multivariate analysis, hypothesis testing, probability theory and its applications, etc.).
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.
Strong statistical background and experience applying data science techniques in production, demonstrating measurable impact and scalability.
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.
Experience applying Large Language Models (LLMs) and Generative AI techniques to real-world data challenges.
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 StipendFlexible compensation
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

Do you feel that you don't check all of the requirements? At CARTO we believe that professional development happens through teaching and learning from your peers and managers. Even if you’re uncertain about whether you have the experience we’re looking for, please apply if this position sparks your curiosity.

A diversity of identity, perspective, and experience makes us stronger. We welcome you to apply to CARTO regardless of your background, gender, ethnicity, orientation, or ability.

To learn more about us, please visit our blog or follow us on Twitter (@carto) or Instagram (@cartohq).Not the right job for you? Take a look at the rest of our openings at carto.com/careers

Carto Glassdoor Company Review

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4.5

CEO of Carto

Luis Sanz

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What You Should Know About Senior Data Scientist, Carto

CARTO is seeking an enthusiastic and experienced Senior Data Scientist to join our team, where you'll innovate at the intersection of data science and GIS. Our goal is to help organizations harness the power of spatial analytics, enabling them to answer the critical questions of ‘where’ and ‘why’ in their business strategies. In this exciting role, you will work on the development of cutting-edge algorithms and derivative datasets that leverage spatial data to generate accurate insights and predictions. You'll have the opportunity to collaborate closely with our clients, tackling their complex spatial data challenges with creativity and technical expertise. As part of our diverse team, you will design and conduct novel data science experiments, apply existing machine learning methods to spatial data, and explore exciting new research areas like Geospatial AI. At CARTO, you will participate in all phases of the Data Science product lifecycle, including exploratory data analysis and model development. Your findings will not only influence internal decisions but also inform the broader community through presentations and workshops. With a focus on continuous learning, you’ll also stay abreast of industry advancements and teach others within the company. This remote position allows for flexibility, ideally suited for candidates in the Central European Time zone, but you are also welcome to work from our vibrant offices in Madrid or Seville. If you’re ready to make a meaningful impact and work with a team that values diversity, we invite you to apply!

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Carto

What are the primary responsibilities of a Senior Data Scientist at CARTO?

As a Senior Data Scientist at CARTO, your primary responsibilities will include building advanced data science models that tackle complex business problems, particularly through statistical and machine learning predictive models focused on spatial analysis. You'll design and execute novel data science experiments and manage projects from exploratory data analysis to model productionization, while consistently collaborating with engineering and product teams to align your findings with business objectives.