About CarbonFarm: CarbonFarm is creating a sustainable, profitable future for smallholder farmers by aligning profitability with climate impact. Its work combines remote sensing data, agricultural data and machine learning to turn complex carbon projects for customers worldwide into reliable outcomes. The Forward Deployed Engineer applies CarbonFarm’s models to each client project, working across data science, engineering and customer delivery alongside the Customer Success Managers.
Missions
- Adapt pre-built models and data processing to the specifics of each client project.
- Deliver technical results to commercial partners together with the Customer Success Manager.
- Run and maintain customer mission workflows from data intake to final output.
- Work with Python, SQL, cloud systems and machine-learning pipelines.
- Validate model outputs and investigate issues in data or execution.
- Support the reporting of environmental outcomes for several customers in parallel.
- Translate customer needs into actionable technical requirements.
- Identify recurring delivery patterns that should be improved or productised.
- Use AI tooling for rapid iteration while keeping technical accuracy high.
Profile
- Two years of experience in data science or a similar technical role.
- A master’s degree or equivalent in engineering, computer science or a related field.
- Autonomous Python coding, with two or more years of professional experience.
- Comfort querying SQL databases and working with cloud platforms and data pipelines.
- Experience applying and adjusting machine-learning models.
- At least one year creating data visualisations in Python or a platform such as Superset.
- Excellent communication of scientific concepts to non-technical stakeholders, and fluent English.
- Based in Paris and able to work in person with the team at Station F.
- Experience with Airflow or Dagster, SAR remote sensing or GIS tools is a plus.
