Senior Data Scientist – Carbon Modeling (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 4,000 farmers, covering 800,000 hectares (5% of Germany’s farmland!) and we are now the number 1 provider for Scope 3 solutions in Europe!

If you’re passionate about building a sustainable food system and driving real climate impact, join us and help create a healthier planet!

Your mission

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 Senior Data Scientist to join our team.

As a Senior 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,improving our existing models and developing cutting-edge ML-based approaches. 

• Proactively assess and identify opportunities for data science applications, data products, and automations.

• Build and Deploy robust, scalable data models to support ML systems and improve data accessibility.

• Collaborate cross-functionally with agronomists, data engineers, and product teams.

• Stay informed on the latest trends and advancements in data science, environmental modeling, and related fields.

• Mentor junior team members, supporting their growth in technical expertise, scientific thinking, and communication skills

Your profile:

• Advanced degree (MSc or PhD) in Data Science, Environmental Science, Agronomy, Computer Science, or a related field.

• 3+ years of proven experience in developing and implementing statistical, machine learning algorithms 

• Strong Python programming skills and familiar with machine learning libraries, SQL, data visualization tools, and data manipulation.

• Experience collaborating closely with data engineering and product teams, with proficiency in version controlling (e.g., Git).

• Experience in optimising and deploying models in production, ensuring seamless integration with Klim’s data pipelines.

• 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.

• Eagerness to develop a deep understanding of soil science and biogeochemical modeling.

• Full working proficiency in English.

Bonus Points for:

• Knowledge of agronomy and agricultural topics, notably around SOC modelling (RothC, Bodium, etc.)

• Experience working with large-scale geospatial data and familiarity with remote sensing are a plus.

• Familiarity with MLOps tools and best practices for managing machine learning workflows

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!