Senior Data Scientist
Surgical Data Science Collective- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and have at least 5 years of experience in data science, with a strong emphasis on spatial data analysis and machine learning. Experience with spatial econometrics, machine learning, and Geospatial AI (GeoAI) is highly desirable. Familiarity with cloud data warehouses and modern data science tools is expected.
The Senior Data Scientist will build data science models to solve complex business problems, designing and running experiments to develop CARTO’s Analytics Toolbox and CARTO Workflows. They will participate in all phases of the data science product lifecycle, including exploratory data analysis, model development, productionizing, and evaluation. Additionally, the role involves leading research activities to discover new Spatial Data Science methods, collaborating with engineering and product teams, and working with external clients to address their spatial data science challenges.
Cloud platform for location intelligence analysis
CARTO provides a cloud-based platform focused on location intelligence and geospatial analysis, catering to various industries such as commercial real estate, telecommunications, and agriculture. The platform enables businesses to extract valuable insights from their cloud data warehouses, helping them understand the reasons behind spatial occurrences. Unlike traditional GIS tools, CARTO's user-friendly interface allows non-specialists to create, update, and publish maps quickly, enhancing efficiency and service delivery. The platform has been instrumental in optimizing operations for clients like T-Mobile and Bumble, and has contributed to revenue growth for companies like Groupe Renault. CARTO generates revenue by charging businesses for platform access and has established a presence in 150 countries, indicating significant growth potential.