Data Scientist - GeoAI

Who you are

You have a strong background in data science and artificial intelligence, with a focus on geospatial analysis. Your experience includes developing deep learning models and working with GIS data, particularly satellite imagery. You are proficient in Python and have hands-on experience with machine learning libraries, especially PyTorch. You understand the intricacies of spatial data science and are eager to apply your skills to solve real-world challenges. You enjoy collaborating with cross-functional teams and have a knack for integrating AI solutions into existing frameworks. You are detail-oriented and have a passion for maps and geospatial datasets, which drives your commitment to excellence in your work.

Desirable

Experience with remote sensing technologies and familiarity with ArcGIS is a plus. Knowledge of additional deep learning frameworks or libraries would be beneficial. You are open to learning new technologies and methodologies that can enhance your contributions to the team.

What you'll do

As a Data Scientist at Esri, you will develop tools and APIs that enable geospatial analysts to leverage AI and deep learning techniques. You will create foundation models for various modalities of GIS data, including satellite imagery, and integrate ArcGIS with popular deep learning libraries like PyTorch. Your role will involve curating and processing data for deep learning models, transforming it into actionable geospatial information. You will also conduct comparative studies of different deep learning models to identify the most effective solutions for geospatial tasks. Collaborating with other data scientists and analysts, you will contribute to the development of AI agents and assistants that streamline GIS processes.

What we offer

Esri provides a collaborative work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge projects that have a significant impact on how geospatial data is analyzed and utilized. The company values professional growth and offers resources for continuous learning and development. You will be part of a team that is dedicated to solving some of the world's biggest challenges through technology and data science. Competitive compensation and benefits are part of the package, reflecting the importance of your contributions to the organization.