Environmental Data Engineer / Data Scientist

Green Praxis offers vegetation management solutions to companies with large land footprints to help them manage their land in a sustainable and economically profitable way. Rather than expensive and polluting solutions based on chemicals and regular mechanical intervention, we offer Nature Based Solutions that require low maintenance and offer environmental as well as economic benefits. The company consists of scientific experts in plants, animals and soil complemented by a technology team that helps them perform analysis at scale and uncover insights.

 

We are looking for an Environmental Data Engineer / Data Scientist to support these efforts. In this role you will build the data backbone, perform data analysis and develop models to enable us to understand how different natural systems will thrive in different environments. Some examples include:

• Evolving our data pipeline to allow us to ingest, process and access geographical and environmental data at scale with reliability and data governance

• Build features from this data that help in human understanding and can drive models

• Create data visualizations to uncover opportunities and insights

• Gathering, cleaning and visualizing data from diverse data sources such as topography, soil types, climate and pollution data sets

• Analyzing satellite, drone and lidar imagery to gather information such as water stress, vegetation health and growth, and detecting changes due to natural phenomena or maintenance activities

• Analyzing close up photography of experimental plots to detect plant mixes and analyze changes over time

 

In addition to this core work, you should be ready to contribute to diverse IT tasks. We have a mobile and web app running on a cloud infrastructure and a set of APIs. We are a small team so we all pitch in when and where needed. Our computing environment is a mix of Python, Dart and NodeJS running on IBM, Amazon and Google infrastructure. 

 

What we are looking for in you:

• Masters degree or PhD with concentration in data and machine learning

• 2+ years experience as a software engineer in a commercial environment or demonstration of strong individual initiative

• Skilled in Python and data libraries, bonus if you know NodeJS and web development

• Understanding of APIs and Cloud engineering

• Demonstrated experience of building data pipelines 

• Strong interest in ecology and willingness to invest in building domain knowledge

• Ability to work with substantial autonomy

• Good communicator and collaborator

• The company is French but we have a mix of nationalities so our working language is English. You will need to be proficient in written and spoken English.

 

If this sounds like you, please get in touch!