Environmental Data Scientist

About the job

Green PRAXIS enables large companies to manage their natural assets in a sustainable way. We do this by combining ecological and data science within a single digital platform. We leverage a wide range of data sources to automatically generate environmental scores and diagnoses, explore multiple potential future scenarios and help the customer determine how to balance economic return with environmental imperatives. We focus on organisations managing major infrastructures such as transportation networks, energy facilities, industrial sites or urban areas. As a company with a mission, we help our customers reduce their environmental impact while lowering operating costs and improving their resilience in the face of climate change.

We are looking for an Environmental Data Scientist to support these efforts. In this role you will perform data analysis and develop models in support of our work. Some examples include:

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

• Building models of Biodiversity based on habitat and species analysis

• Building models of Carbon Sequestration based on different land use plans

• Building models of Plant growth in different mixes in different conditions

• Creating code for data gathering, cleaning, feature creation and storage

In addition to this core work, you will also 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:

• PhD or Masters degree with concentration in machine learning

• 2+ years leveraging machine learning in real world applications

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

• Demonstrated experience of building data pipelines

• Demonstrated experience of building models and leveraging machine learning techniques

• Good understanding of statistics

• Good understanding of core IT principles

• Ability to work with substantial autonomy

• Good communicator and collaborator

• Ability to communicate in both French & English at B2 level or above

If this sounds like you, please get in touch!