👉 <a target="_blank" rel="noopener noreferrer nofollow" href="https://app.notion.com/p/07862df2b8ee8269b3828127f57362a0?pvs=21">Apply through the form</a> and scroll down for more details!We are searching for a data scientist/engineer who can own technical scientific delivery and communication for customer missions end-to-end, and who can grow into a role combining operations, engineering, and product.<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/carbonfarm-tech/posts/?feedView=all">CarbonFarm’s</a> work combines remote sensing data, agricultural data and machine learning. We work closely with worldwide customers to turn complex carbon projects into reliable and valuable outcomes, while feeding what we learn back into product and engineering. <h2>About the role</h2>As a Forward Deployed Engineer you will apply our models to each client project, adapting each time to the reality on the ground.This role sits at the intersection of data science, engineering, and customer delivery operations. You will work closely with operations, engineering, product, and R&amp;D to deploy and adapt CarbonFarm’s technical capabilities. That includes everything from running data pipelines and validating model outputs to shaping requirements and helping identify what should become part of the core product.On the client-facing front, you will be working closely with our Customer Success Managers. They will manage client expectations. You will help translate client needs into technical delivery requirements and intervene in client communication when things get too technical.This is not a consulting role. We are looking for someone who is comfortable working directly with data, code, and technical systems, and who can bridge the communication gap between a technical product and the real world in which our clients operate. <h2>What you’ll do</h2><ul><li>Adapt pre-built models and data processing to the idiosyncrasies of each client project</li><li>Collaborate with the Customer Success Manager to deliver technical results to commercial partners</li><li>Run and maintain customer mission workflows from data intake to final output</li><li>Work with Python, SQL, cloud systems and machine-learning pipelines</li><li>Validate model outputs and investigate issues in data or execution</li><li>Support reporting and communicating the environmental outcomes for multiple customers in parallel</li><li>Translate customer needs into actionable technical requirements</li><li>Identify recurring delivery patterns that should be improved or productised</li><li>Contribute to product improvements over time as delivery work reveals missing capabilities</li><li>Leverage AI tooling to drive rapid iteration, with a strong bias for technical accuracy </li></ul><h2>What we’re looking for</h2><ul><li>2 years experience in data science or in a similar technical role</li><li>Masters degree or equivalent in engineering, computer science or similar</li><li>Excellent communication skills, notably with regards to communicating scientific concepts to non-technical stakeholders</li><li>Comfortable interpreting technical results in a commercial context</li><li>Autonomous coding in Python with 2+ years professional experience</li><li>Ability to understand technical systems end to end, even when not every component is owned directly</li><li>Comfortable navigating and querying SQL databases</li><li>1+ years experience creating or adapting data visualisations in Python or a data visualisation platform (e.g. Superset)</li><li>Experience working with cloud platforms</li><li>Experience working with data pipelines</li><li>Experience applying and adjusting machine-learning models, preferably in a professional context</li><li>English fluency</li><li>Paris-based, with the ability to work in person with the team </li></ul><h2>Nice to have</h2><ul><li>Experience with machine-learning pipeline operations, deployment, or monitoring</li><li>Familiarity with workflow orchestrating tooling such as Airflow or Dagster</li><li>Remote sensing or earth observation familiarity, notably SAR imagery</li><li>Familiarity with GIS tools or geospatial software concepts </li></ul><h2>Benefits</h2>We offer a permanent position (”Contrat à Durée Indeterminée” - CDI) with a competitive salary and stock options. We provide comprehensive health benefits through Alan (mutuelle), Swile card for meal vouchers, and 50% transportation cost coverage. <h2>About Us</h2>CarbonFarm is creating a sustainable, profitable future for smallholder farmers.We believe in a future where the 1 billion land stewards in this world can live profitably while taking care of the planet. That’s why we are aligning the two: profitability and climate impact. <h2>Why CarbonFarm? </h2><ul><li>Impact-focussed company helping to fight climate change</li><li>Beautiful office spaces in (the very cool) Station F</li><li>Agile team of brilliant problem solvers</li><li>International team with international ambitions (22 people, 14 nationalities)</li><li>Deep-tech startup using modern, cloud-based technologies </li></ul><h2>How to apply</h2><ul><li>Use the form below to send your application!</li><li>A good CV is a short one (two pages good, one page better)</li><li>No need to write a cover letter, but you can highlight something from your CV or experience</li><li>You can send us a couple of examples that best showcase things you’ve done (e.g. links to code, or projects from your studies) </li></ul><h1><a target="_blank" rel="noopener noreferrer nofollow" href="https://app.notion.com/p/07862df2b8ee8269b3828127f57362a0?pvs=21">👉 Apply here! 👈</a></h1>

Decarbonising rice growing through transparent incentives for farmers to adopt sustainable practices. CarbonFarm monitors the adoption of sustainable practices from satellite imagery using AI. This allows us to support farmers' claims to greenhouse gas linked rewards.

Forward Deployed Engineer | Earth Observation, Agriculture & Data Science

👉 <a target="_blank" rel="noopener noreferrer nofollow" href="https://app.notion.com/p/07862df2b8ee8269b3828127f57362a0?pvs=21">Apply through the form</a> and scroll down for more details!We are searching for a data scientist/engineer who can own technical scientific delivery and communication for customer missions end-to-end, and who can grow into a role combining operations, engineering, and product.<a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/carbonfarm-tech/posts/?feedView=all">CarbonFarm’s</a> work combines remote sensing data, agricultural data and machine learning. We work closely with worldwide customers to turn complex carbon projects into reliable and valuable outcomes, while feeding what we learn back into product and engineering. <h2>About the role</h2>As a Forward Deployed Engineer you will apply our models to each client project, adapting each time to the reality on the ground.This role sits at the intersection of data science, engineering, and customer delivery operations. You will work closely with operations, engineering, product, and R&amp;D to deploy and adapt CarbonFarm’s technical capabilities. That includes everything from running data pipelines and validating model outputs to shaping requirements and helping identify what should become part of the core product.On the client-facing front, you will be working closely with our Customer Success Managers. They will manage client expectations. You will help translate client needs into technical delivery requirements and intervene in client communication when things get too technical.This is not a consulting role. We are looking for someone who is comfortable working directly with data, code, and technical systems, and who can bridge the communication gap between a technical product and the real world in which our clients operate. <h2>What you’ll do</h2><ul><li>Adapt pre-built models and data processing to the idiosyncrasies of each client project</li><li>Collaborate with the Customer Success Manager to deliver technical results to commercial partners</li><li>Run and maintain customer mission workflows from data intake to final output</li><li>Work with Python, SQL, cloud systems and machine-learning pipelines</li><li>Validate model outputs and investigate issues in data or execution</li><li>Support reporting and communicating the environmental outcomes for multiple customers in parallel</li><li>Translate customer needs into actionable technical requirements</li><li>Identify recurring delivery patterns that should be improved or productised</li><li>Contribute to product improvements over time as delivery work reveals missing capabilities</li><li>Leverage AI tooling to drive rapid iteration, with a strong bias for technical accuracy </li></ul><h2>What we’re looking for</h2><ul><li>2 years experience in data science or in a similar technical role</li><li>Masters degree or equivalent in engineering, computer science or similar</li><li>Excellent communication skills, notably with regards to communicating scientific concepts to non-technical stakeholders</li><li>Comfortable interpreting technical results in a commercial context</li><li>Autonomous coding in Python with 2+ years professional experience</li><li>Ability to understand technical systems end to end, even when not every component is owned directly</li><li>Comfortable navigating and querying SQL databases</li><li>1+ years experience creating or adapting data visualisations in Python or a data visualisation platform (e.g. Superset)</li><li>Experience working with cloud platforms</li><li>Experience working with data pipelines</li><li>Experience applying and adjusting machine-learning models, preferably in a professional context</li><li>English fluency</li><li>Paris-based, with the ability to work in person with the team </li></ul><h2>Nice to have</h2><ul><li>Experience with machine-learning pipeline operations, deployment, or monitoring</li><li>Familiarity with workflow orchestrating tooling such as Airflow or Dagster</li><li>Remote sensing or earth observation familiarity, notably SAR imagery</li><li>Familiarity with GIS tools or geospatial software concepts </li></ul><h2>Benefits</h2>We offer a permanent position (”Contrat à Durée Indeterminée” - CDI) with a competitive salary and stock options. We provide comprehensive health benefits through Alan (mutuelle), Swile card for meal vouchers, and 50% transportation cost coverage. <h2>About Us</h2>CarbonFarm is creating a sustainable, profitable future for smallholder farmers.We believe in a future where the 1 billion land stewards in this world can live profitably while taking care of the planet. That’s why we are aligning the two: profitability and climate impact. <h2>Why CarbonFarm? </h2><ul><li>Impact-focussed company helping to fight climate change</li><li>Beautiful office spaces in (the very cool) Station F</li><li>Agile team of brilliant problem solvers</li><li>International team with international ambitions (22 people, 14 nationalities)</li><li>Deep-tech startup using modern, cloud-based technologies </li></ul><h2>How to apply</h2><ul><li>Use the form below to send your application!</li><li>A good CV is a short one (two pages good, one page better)</li><li>No need to write a cover letter, but you can highlight something from your CV or experience</li><li>You can send us a couple of examples that best showcase things you’ve done (e.g. links to code, or projects from your studies) </li></ul><h1><a target="_blank" rel="noopener noreferrer nofollow" href="https://app.notion.com/p/07862df2b8ee8269b3828127f57362a0?pvs=21">👉 Apply here! 👈</a></h1>

Forward Deployed Engineer | Earth Observation, Agriculture & Data Science

About the Job

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