Senior Data Scientist
CARTO
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.