Senior Data Scientist (SOC / Carbon Modelling) (m/f/d)
At Klim, we’re creating a joint movement with farmers and businesses to make regenerative agriculture scalable and impactful. As a Berlin-based AgriTech start-up, we’re empowering farmers to restore soil, boost biodiversity, and capture carbon—all while earning revenue through our platform.
Backed by $22 million in Series A funding, we’re expanding globally, partnering with major food industry leaders like Nestlé and Kaufland to help them reduce emissions along their supply chains, while making them more resilient and profitable at the same time. Since 2020, we’ve supported 3,500 farmers, covering 700,000 hectares (5% of Germany’s farmland!).
If you’re passionate about building a sustainable food system and driving real climate impact, join us and help create a healthier planet!
At Klim, we are revolutionizing agriculture by empowering farmers to adopt regenerative practices and contribute to a sustainable future. A critical component of our mission is developing accurate and robust SOC/carbon models, which drive the creation of our advanced data products to support farmers in their transition to regenerative agriculture.
To further strengthen our modeling capabilities, we are seeking a Data Scientist with extensive expertise in SOC/carbon modeling to join our team.
As Data Scientist you will:
Analyse and enhance our internal sequestration and environmental models to ensure robustness, accuracy, and scalability.
Support in the decision-making process on how to meaningfully enhance our carbon model by means of using different soil science models (e.g. Bodium) and improving our existing models.
Proactively assess and identify opportunities for data science applications, data products, and automations.
Build robust, scalable data models to support ML systems and improve data accessibility.
Collaborate cross-functionally with agronomists, engineers, and product teams.
Stay informed on the latest trends and advancements in data science, environmental modeling, and related fields.
Your profile:
Advanced degree (MSc or PhD) in Data Science, Environmental Science, Agronomy, Computer Science, or a related field.
Proven experience in developing environmental models, with a focus on SOC/sequestration modelling or similar domains. Familiarity with RothC is a plus.
Deep knowledge of agronomy and agricultural topics.
Proficiency in Python and SQL with experience using ML frameworks and libraries such as PyTorch and scikit-learn in a production/product environment.
Experience collaborating with engineering and product teams, with proficiency in version controlling (e.g., Git).
Ability to translate business requirements into quantitative solutions and clearly communicate insights to non-technical stakeholders.
Ability to manage multiple projects in a fast-paced environment.
Experience working with large-scale geospatial and sensor data and familiarity with remote sensing are a plus.
Full working proficiency in English. German is a plus.
Benefits:
Opportunity: Be part of our journey from the very beginning, working on an equal footing with the leadership team to build a new company
Impact: Make a daily and active contribution to combating climate change, promoting consumer education, and fostering fair conditions for our climate-conscious farmers
Autonomy: Take ownership of your projects and enjoy a high degree of creative freedom
Competitive package: Receive a competitive salary and have the opportunity to participate in our VSIP program
Flexible work model: At Klim, we foster a flexible, hybrid work approach and facilitate hybrid/remote work (within Germany). It is advantageous for this role if you live in Berlin or can be present in our office regularly.
Additional benefits: We offer membership in the Urban Sports Club or the Deutschlandticket, team lunches (if in Berlin) and regular team events.
At Klim, we believe that a thriving workplace is built on the diverse backgrounds, talents, and perspectives of our team. We grow stronger together by embracing and building on each individual’s unique strengths.
We are committed to fostering an inclusive environment where everyone feels valued and empowered to contribute their best. All hiring and personnel decisions are made solely based on qualifications, performance, and the needs of the company—ensuring fairness and equal opportunity for all.
If you’re excited about this role but don’t meet every requirement, we still encourage you to apply. You might be the perfect fit for our team in ways you don’t yet realise!