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Home›Jobs›Esri›Data Scientist- GeoAI
Esri

About Esri

Empowering organizations with spatial intelligence

🏢 Tech👥 5K-10K📅 Founded 1969📍 Redlands, California, United States

Key Highlights

  • Headquartered in Redlands, California
  • Over 350,000 users globally, including government and NGOs
  • Flagship product ArcGIS is a leader in GIS software
  • Approximately 10,000 employees dedicated to GIS innovation

Esri, headquartered in Redlands, California, is a leading provider of geographic information system (GIS) software, with over 350,000 users worldwide. Their flagship product, ArcGIS, is utilized by organizations across various sectors, including government, transportation, and environmental manageme...

🎁 Benefits

Esri offers comprehensive benefits including competitive salaries, equity options, generous PTO, flexible work arrangements, and a strong commitment t...

🌟 Culture

Esri fosters a culture focused on innovation in GIS technology, emphasizing collaboration and a commitment to sustainability. The company values commu...

🌐 Website💼 LinkedIn𝕏 TwitterAll 318 jobs →
Esri

Data Scientist- GeoAI

Esri • New Delhi R&D Center

Posted 10h ago🏛️ On-SiteMid-LevelData scientist📍 New delhi
Apply Now →

Skills & Technologies

PythonMachine learningDeep learningGisPyTorch

Overview

Esri is hiring a Data Scientist specializing in GeoAI to develop AI and deep learning models for geospatial analysis. You'll work with Python and PyTorch to create tools and APIs that leverage GIS data. This role requires a strong background in machine learning and geospatial technologies.

Job Description

Who you are

You have a solid background in data science and artificial intelligence, with a focus on geospatial analysis. Your experience includes developing deep learning models and working with various modalities of 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 geospatial datasets and are passionate about applying your skills to solve real-world challenges. You thrive in collaborative environments and enjoy working with cross-functional teams to drive innovation in geospatial AI. You are eager to stay updated with the latest research in spatial data science and apply it to your work.

Desirable

Experience with ArcGIS and familiarity with APIs for geospatial data processing would be a plus. Knowledge of additional deep learning frameworks and tools can enhance your contributions to the team. A background in remote sensing and computer vision will also be beneficial as you develop models for various GIS tasks.

What you'll do

As a Data Scientist at Esri, you will be responsible for developing tools, APIs, and pretrained models that enhance geospatial AI capabilities. You will integrate ArcGIS with popular deep learning libraries, particularly PyTorch, to create robust solutions for geospatial analysts. Your role will involve curating and pre/post-processing data for deep learning models, transforming it into actionable geospatial information. You will conduct comparative studies of various deep learning models to identify the most effective approaches for different tasks. Additionally, you will author and maintain geospatial data science samples, showcasing the capabilities of ArcGIS in conjunction with machine learning and deep learning libraries. Your work will directly contribute to revolutionizing geospatial analysis and deriving insights from complex datasets.

What we offer

At Esri, you will be part of a leading organization in geographic information systems, working alongside experts in the field. You will have the opportunity to apply cutting-edge AI and deep learning techniques to impactful projects that address some of the world's biggest challenges. We foster a collaborative and innovative work environment where your contributions will be valued. You will have access to continuous learning opportunities and the chance to grow your skills in a rapidly evolving field. Join us in making a difference through geospatial technology and AI.

Interested in this role?

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