DATA SCIENTIST

At Gmatics, we're on a mission to integrate satellite monitoring, aerial/drone surveys, geospatial databases, and Artificial Intelligence to create digital models of reality (Digital Twins). Our goal is to improve the management of cities and critical infrastructures while addressing the effects of climate change.

Our strategy: We're developing innovative solutions that transform pixels into insights, serving multiple industries with custom analytics solutions. We continuously enhance our platform comprising our expertise, technologies, data, and company culture to tackle increasingly complex challenges in the Earth Observation field.

For a talented, driven, and collaborative data scientist, joining our team offers rapid learning, significant impact, and accelerated career progression.

We're seeking exceptional data scientists to work on our Earth-observing data mining and machine learning algorithms. You'll work directly on production-grade analytic pipelines, improving our products and adding new features. Our tech stack primarily includes Python and various machine learning frameworks, but we adapt our tools to meet evolving needs.

• Implement research and development activities for Earth-observing data mining and machine learning algorithms.

• Build geospatial AI/ML solutions to solve technical challenges for our clients.

• Process structured and unstructured data to create data pipelines for machine learning use cases.

• Research and apply cutting-edge deep learning computer vision algorithms to remote sensing data.

• Reasoning ability: You solve complex problems, think from first principles, and pay attention to crucial details.

• Drive: You're ambitious, take initiative, and hold yourself to high standards.

• Team spirit: You support the best ideas, help your teammates, and communicate honestly.

• Experience in data mining and analysis using Python

• Understanding of machine learning, deep learning, and mathematical modeling.

• Bachelor's degree (or equivalent) in Data Science, Computer Science, Engineering, natural or social sciences, or other relevant quantitative fields.

• Talented, entrepreneurial teams working on high-impact projects.

• Exceptional growth opportunities, with the chance to lead significant initiatives.

• Chance to express your ideas and work on innovative projects using the latest technology.

• Comprehensive benefits, including flexible hours, remote work options, learning support, and more.

Our environment is demanding and fast-paced. We have ambitious goals and expect a lot from each team member. If you're excited by the challenge and ready to give your best, we encourage you to apply.

Applications are welcome in English and Italian.

We value diversity in backgrounds and experiences. If you're passionate about the role and believe you could excel in it, we encourage you to apply, even if you don't meet every qualification.