Lead Data Scientist
HumanaFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position, preferably in the Central European Time Zone.
This information is not specified in the job description.
Required skills include experience in data science and machine learning, strong understanding of statistical modeling and hypothesis testing, experience with spatial data analysis and GIS concepts, familiarity with spatial econometrics, machine learning, and Geospatial AI (GeoAI), ability to adapt machine learning methods for spatial data, experience with cloud data warehouses, and excellent communication and collaboration skills.
CARTO has a team of 150 people spread across the US and Europe, and this role joins the Data Science team.
Strong candidates will have experience in data science, machine learning, spatial data analysis, GIS, spatial econometrics, GeoAI, adapting ML methods for spatial data, cloud data warehouses, plus excellent communication skills.
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.