Earth Science Analytics' (ESA) mission is to improve exploration success in challenging geological settings by providing geoscience-driven machine learning workflows and software. We aim to provide high-quality data-driven predictions to clients in the E&P industry more efficiently, with greater precision, and at a lower cost compared to traditional methods.

Machine learning techniques are exceeding human performance when it comes to extracting knowledge from complex, multi-dimensional data sets. Machine intelligence is the foundation of the ongoing revolution in data science. At Earth Analytics, we are making geoscience-driven machine learning systems that enable disruptive new applications for geoscientists and the E&P Industry.

We are looking for a Python Developer to join our engineering team and help us extend and maintain the Earth Science Analytics backend.

How will your day look like? You will:

• Turn (sometimes fuzzy) requirements into simple (but not simplified) software designs
• Design new functionality and refactor existing one
• Write well-structured, reusable, and testable code using best practices
• Mentor junior team members

What is in it for you?

• Working with state of the art technologies in AI / Deep learning
• Indefinite duration contract of employment
• 25 days of vacations per year
• No dress code, flexible working hours
• An awesome working environment!