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Senior Data Scientist (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!

Your mission:

At Klim, we've pioneered the world’s first digital platform for regenerative agriculture, empowering thousands of farmers to champion sustainable practices. We provide financial compensation to farmers for their regenerative practices and offer high-quality advisory services. We connect the farmers with forward-thinking companies who want to invest in a greener future. By purchasing the carbon credits generated from these sustainable practices or implementing regenerative agriculture in their food supply chain, these companies not only fulfill their environmental responsibilities but also fuel a cycle of positive change.

Now, we're looking for a Data Scientist to join our dynamic team. In this role, you'll have the opportunity to be at the forefront of change, helping develop sophisticated data products to aid farmers in their transition to regenerative agriculture.

Backed by visionary investors like Atlantic Food Labs, Ananda Impact Ventures, and AgFunder, we're on a trajectory of growth and innovation. If you're ready to make a difference and be part of something truly meaningful, join us at Klim, and together, let's cultivate a brighter tomorrow for all.

As Data Scientist you will: 

  • Build and optimize ML models for agronomic recommendations.

  • Work with diverse datasets to generate insights.

  • 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.

Your profile:

  • MSc/PhD in data science, agronomy, computer science, or related fields.

  • Proven track record in building recommendation systems or predictive data science projects, ideally related to agriculture.

  • Preferred knowledge of agronomy and agricultural topics.

  • Proficiency in Python and SQL with experience using ML frameworks and libraries such as PyTorch and scikit-learn.

  • Familiarity with the AWS ecosystem.

  • 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 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!

Average salary estimate

$80000 / YEARLY (est.)
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$70000K
$90000K

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What You Should Know About Senior Data Scientist (m/f/d), Klim GmbH

Hey there! Are you ready to make a significant impact in the world of agriculture? Join us at Klim as a Senior Data Scientist! Based in vibrant Berlin, we’re an agritech startup dedicated to partnering with farmers and businesses to promote regenerative agriculture that helps restore soil, boosts biodiversity, and captures carbon emissions. With $22 million in Series A funding and partnerships with giants like Nestlé and Kaufland, our mission is to empower farmers and create a sustainable food system. As a Senior Data Scientist, you’ll be at the forefront of innovative solutions, building and optimizing machine learning models that aid farmers in their transition to sustainable practices. You’ll work with diverse datasets to generate actionable insights, identify opportunities for data science applications, and collaborate with cross-functional teams to develop robust data products. If you have a passion for data science and want to contribute to a greener planet while working in a dynamic and supportive environment, we want to hear from you! At Klim, you'll have the creative freedom to take ownership of projects that matter, and you’ll be part of a team that values diversity and fosters inclusivity. Let’s cultivate a brighter future together!

Frequently Asked Questions (FAQs) for Senior Data Scientist (m/f/d) Role at Klim GmbH
What are the responsibilities of a Senior Data Scientist at Klim?

As a Senior Data Scientist at Klim, you will be responsible for building and optimizing machine learning models to aid in providing agronomic recommendations. You will work with diverse datasets to generate insights, assess opportunities for data science applications, and collaborate with agronomists and engineers to support ML systems. Your role will be crucial in enhancing data accessibility for sustainable farming practices.

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What qualifications do I need to apply for the Senior Data Scientist position at Klim?

To apply for the Senior Data Scientist position at Klim, candidates should ideally possess an MSc or PhD in data science, agronomy, computer science, or related fields. Additionally, a proven track record in building recommendation systems or predictive data science projects, preferably in agriculture, is essential. Familiarity with Python, SQL, and ML frameworks is also required.

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Is experience in agriculture necessary for the Senior Data Scientist role at Klim?

While it's preferred to have knowledge of agronomy and agricultural topics for the Senior Data Scientist role at Klim, candidates without direct experience in agriculture are still encouraged to apply. A strong background in data science, along with the ability to translate business requirements into quantitative solutions, can effectively contribute to our team.

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What should I expect in terms of work environment as a Senior Data Scientist at Klim?

At Klim, you can expect a flexible work model that promotes a hybrid work approach. This allows for remote work within Germany, but it’s beneficial to be based in Berlin or to be present in the office regularly. Our team values autonomy and fosters a creative freedom that empowers you to take ownership of your projects.

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How does Klim support diversity and inclusion within the workplace?

Klim is committed to fostering an inclusive environment where every team member feels valued and empowered to contribute their best. We believe that a thriving workplace is achieved through the diverse backgrounds, talents, and perspectives of our team. All hiring decisions are based solely on qualifications and performance, ensuring fairness and equal opportunities for everyone.

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Common Interview Questions for Senior Data Scientist (m/f/d)
Can you describe your experience with building machine learning models?

When answering this question, emphasize specific projects where you’ve developed machine learning models, particularly those related to agricultural data. Discuss the algorithms you used, the results achieved, and the impact of those models on decision-making or operational efficiency.

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How do you approach problem-solving in data science?

Explain your structured approach to problem-solving, mentioning steps like defining the problem, gathering and analyzing data, utilizing appropriate models, and iterating based on results. Providing a specific example where your problem-solving skills led to successful outcomes can make your answer more impactful.

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What tools and technologies do you prefer for data analysis and modeling?

Discuss the tools you are proficient in, such as Python, SQL, and specific ML frameworks like PyTorch or scikit-learn. Explain why you prefer these tools, highlighting their effectiveness in your past projects and how they enhance your analytical capabilities.

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How do you communicate complex data findings to non-technical stakeholders?

Highlight your ability to simplify complex concepts using clear visuals and relatable analogies. Discuss previous experiences where you translated technical findings into actionable insights for non-technical team members or stakeholders, emphasizing the importance of effective communication.

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Describe a time when you had to manage multiple projects simultaneously.

Share a specific instance where you handled overlapping deadlines or concurrent projects. Explain your organizational strategies, prioritization methods, and how you ensured high-quality output despite competing demands.

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What interests you about working in regenerative agriculture?

Express your personal motivation for wanting to contribute to the field of regenerative agriculture. You might relate your interest to sustainability, climate action, or innovative agricultural technologies, making sure to connect it to Klim’s mission.

Join Rise to see the full answer
How familiar are you with AWS and cloud-based solutions?

Discuss your experience with AWS or similar cloud platforms, focusing on specific projects where you've utilized cloud-based solutions for data storage, processing, or analytics. Highlight your comfort level with deploying models in a cloud environment.

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What do you think are the biggest challenges facing data scientists in agriculture?

Identify key challenges such as data integration from various sources, dealing with large-scale geospatial data, or translating data into actionable insights for farmers. Offer thoughtful perspectives on how you would address these challenges in your role at Klim.

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How do you stay updated with the latest trends in data science?

Share your methods for continuous learning, such as following reputable journals, attending conferences, or participating in online courses and communities. Mention specific areas of data science or agriculture that spark your interest for further growth.

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What role do you see data science playing in sustainable agriculture?

Discuss the transformative potential of data science in sustainable agriculture, especially in improving efficiency, optimizing resource use, and reducing environmental impact. Emphasize your commitment to using data for making impactful decisions that align with Klim's mission.

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DATE POSTED
March 23, 2025

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