Data Scientist - Paris

💡 Transition partners
Long-term contract
Localisation Paris, France
Partial remote possible
Posted on 06-14-2024


Leader in supply chain sustainability. We work with local communities to develop regenerative agriculture, agroforestry, forest conservation and landscape restoration projects worldwide.

💡 Transition partners

The mission of this structure is to help companies and citizens improve their environmental and social impact. For example, CSR consulting, training, raising awareness of transition issues, media, etc.

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  • Company
  • Between 50 and 250 employees
  • Agriculture
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Data Scientist

Based in Paris, France

Full time position, local contract

Beginning: ASAP 2024

PUR Description

PUR is a global, impact-focused B-Corp specializing in supply chain sustainability. We design, develop, and implement nature-based solutions projects to help our corporate partners reduce their environmental footprint and meet their ESG targets. Many of PUR's projects fall within the categories of insetting, regenerative agriculture, agroforestry, forest conservation, and landscape restoration.

These projects aim to introduce more sustainable agricultural practices, regenerate and preserve ecosystems, and socially and economically empower local communities. Today, we employ 200 staff across 16 countries, with key offices in Paris (HQ) and Toronto.

Industry Description

PUR operates within the dynamic and rapidly evolving sector of environmental consultancy services and nature-based solutions (NbS) markets. The NbS market has recently gained traction as society recognizes the invaluable services provided by nature and the need to preserve, restore and harness these services to mitigate and adapt to environmental challenges. To be considered a nature-based solution, projects must address real societal challenges and offer strong environmental, economic and social benefits for local communities.

Market KPIs:

  • If combined with deep decarbonisation efforts, NbS projects could provide up to 30% of the mitigation needed to limit global warming to 1.5ºC above pre-industrial levels by 2030 (World Economic Forum, 2023)

  • NbS project credits make up the largest volumes of carbon credits available in the VCM (voluntary carbon markets ) with $9bn invested between 2020 and 2022 (Sylvera, 2023)

  • 5,307 companies have set science-based targets - a 4.2x increase since 2022 – and a significant driver of demand within the NbS and VCM markets (SBTi, 2024)

The Data Scientist will help us leverage our field and tree species information, translating it into the carbon impact we are making in the world. They will integrate the Data Team and work closely to the Carbon team as well. They will use the extensive data we have to create models that will guide our project design, contracts, and state-of-the-art carbon modeling that is better suited to the reality of agroforestry projects in tropical areas. 

Your responsibilities will include in a non-exhaustive manner :

  • Implement and optimize Machine Learning (eventually Deep Learning) models.

  • Work with structured and unstructured data (geospatial and image data).

  • Process and treat large volumes of information to generate insights and train models.

  • Implement and maintain Python codes.

  • Create dashboards and visualizations to show what the data says;

  • Develop and maintain a species-based carbon forecast and quantification tool.

  • Perform statistical analysis to evaluate uncertainty of forecast, drafting possible scenarios of carbon sequestration figures.

  • Pinpoint the best plots to use as sample plots for the carbon quantification, based on their representativeness of our projects.

  • Continuous improvement of the model and analysis of forecasted results based on new data coming in (Project Dashboards/ Long-Term Monitoring/ Verification & Data Mining).

  • Provide internal consultancy, using the created models, on best project design meeting carbon obligations (based on carbon analysis) & others relevant impacts (biodiversity / livelihoods / crop yields / water).


We are looking for a candidate with :

  • 3 years experience in a Data Analyst / Data Scientist position.
  • Experience with Exploratory Data Analysis.
  • Solid knowledge of statistics - sampling methods, hypothesis testing, causal inference, correlograms.
  • Solid knowledge of SQL.
  • Solid knowledge of Python, including most of the following libs: Scikit-learn, Pandas, Numpy; Tensorflow, Keras, Xgboost and Matplotlib.
  • Experience with machine learning algorithms at work environment; knowledge of neural networks and Deep Learning algorithms at least on a personal project setting.
  • Knowledge of software engineering: unit testing, TDD, OOP, concern with performance and code quality.
  • Familiarity with project management tools such as JIRA and Confluence.
  • Interest and competence to be responsible for the complete process, from data experiments to implementation and monitoring in production (with the help of Data Engineers).
  • Some experience in Sustainability or Impact (or at least a strong interest).
  • Fluent in English. French and Spanish would be an asset.
  • Able to come 3x to the office per week minimum - this is not a full remote position.

Recruitment process :

  • HR interview
  • Technical interview
  • Interview with the CDO + References check