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CarbonFarm is hiring a Forward Deployed Engineer to bridge data science, engineering, and customer delivery. You will own technical scientific delivery end-to-end for customer missions, adapting pre-built models and data processing to each client's unique needs. This role combines hands-on technical work with customer-facing communication and product feedback loops.
You will work at the intersection of remote sensing data, agricultural data, and machine learning. Your responsibilities include:
- Adapt and deploy pre-built models and data processing pipelines to client-specific requirements
- Run and maintain customer workflows from data intake through final output
- Validate model outputs and investigate data or execution issues
- Work with Python, SQL, cloud systems, and ML pipelines
- Collaborate with Customer Success Managers to translate client needs into technical requirements
- Support reporting and communication of environmental outcomes across multiple concurrent customer projects
- Identify recurring delivery patterns that should be productized or improved
- Contribute to product improvements as delivery work reveals capability gaps
- Leverage AI tooling to drive rapid iteration with strong emphasis on technical accuracy
This is not a consulting role. You will work directly with data, code, and technical systems while bridging communication between a technical product and real-world client operations. You'll collaborate closely with operations, engineering, product, and R&D teams.
CarbonFarm combines remote sensing, agricultural data, and machine learning to help worldwide customers turn complex carbon projects into reliable outcomes. The company is a 22-person, 14-nationality deep-tech startup based at Station F in Paris, focused on creating sustainable, profitable futures for smallholder farmers.
REQUIREMENTS:
- 2+ years professional experience in data science or similar technical role
- Master's degree or equivalent in engineering, computer science, or similar field
- 2+ years autonomous coding in Python
- Comfortable navigating and querying SQL databases
- 1+ years experience creating or adapting data visualizations in Python or platforms like Superset
- Experience working with cloud platforms
- Experience working with data pipelines
- Experience applying and adjusting machine-learning models, preferably in professional context
- Excellent communication skills, particularly explaining scientific concepts to non-technical stakeholders
- Comfortable interpreting technical results in commercial context
- Ability to understand technical systems end-to-end
- English fluency
- Paris-based with ability to work in-person with team
NICE TO HAVE:
- Experience with ML pipeline operations, deployment, or monitoring
- Familiarity with workflow orchestration tools (Airflow, Dagster)
- Remote sensing or earth observation experience, particularly SAR imagery
- GIS tools or geospatial software knowledge
