Data Scientist, Autonomous Greenhouse Control

At Source.ag, we’re shaping the future of agriculture through intelligent solutions that empower growers to feed more people with fewer resources. Our mission is to accelerate the transition to high-tech, sustainable food production.

Our values drive everything we do to support this mission, it’s the way how we work, collaborate and achieve our goals:

🧑‍🌾 All In for our Growers - We work closely with growers, prioritizing their needs.

🌈 Strength through Diversity - We embrace different perspectives and backgrounds, fostering a culture of mutual respect, inclusion, and collaboration.

🌟 Learn-Adapt-Succeed - We grow through continuous feedback, learning, and dedication.

🚀 Driven to Deliver - We are dedicated to delivering impactful results and plant solutions that shape the future of food production.

🌱 Plant Solutions - We plant solutions that shape the future of food production.

Our autonomous greenhouse control product is at the heart of this mission, specifically our irrigation autopilot. Imagine an intelligent system that precisely delivers the optimal amount of water and nutrients to plants, exactly when they need it, every single day. This isn't just about efficiency; it's about driving stronger plants, higher yields, and a more resilient food supply for the world.

This system is far from simple. Think of it as the adaptive cruise control of a modern car, but instead of steering vehicles, you're steering plants. It’s a complex, dynamic environment with numerous constraints, conflicting objectives, noisy sensor data, and significant time lags.

We're looking for a bright, pragmatic Data Scientist who thrives on complexity and possesses a first-principles approach with an unshakeable engineering mindset. You'll be instrumental in bringing the world's best environment control systems to growers globally. If you have a proven track record of building sophisticated engineering systems where data is inherently messy and nothing is linear, and you're eager to make a tangible, positive impact on sustainable food production, this is your opportunity.

Having launched our Irrigation Control product in April 2024, we are at the forefront of innovation in AgTech. We've amassed a rich dataset and deep domain expertise, providing an unparalleled foundation to accelerate and enhance our solutions.

In our Control team, you'll be embedded within a highly collaborative environment, working side-by-side with Software Engineers, Product Managers, and AI Solution Specialists. Together, you'll explore, design, ship, and continuously support new models and products in live operations. What makes this role truly unique is the direct collaboration with Plant Scientists and expert growers, allowing you to integrate cutting-edge biological knowledge and real-world practices directly into your work.

What You'll Be Excited To Do

• Architect and deploy robust logic pipelines that run 24/7, autonomously controlling irrigation in greenhouses worldwide.

• Push the boundaries where engineering, data science, and plant science converge to develop state-of-the-art models for innovative customer products.

• Own modeling initiatives end-to-end, from initial brainstorming and conceptualization to packaging, deployment, and ongoing monitoring.

• Masterfully combine data, deep domain knowledge, scientific principles, grower expertise, statistics, and advanced AI/ML tooling to solve critical, real-world business problems.

• Embody Source’s mission of building the world’s best Data & AI solutions for growers, directly impacting global food security.

• MSc or PhD in a Science, Technology, Engineering, or Math discipline

• Minimum 4 years’ of experience in relevant discipline

• A relentless passion for problem-solving, with an intrinsic drive to find the optimal solution and see it through to successful implementation.

• Exceptional eagerness to dive deep into complex domain knowledge, understanding that it's paramount to the success of our models.

• A reflective and iterative mindset, consistently analyzing outcomes to drive continuous improvement in your work and the team’s processes.

• Extensive experience in (a strong subset of): systems modeling, control engineering, signal processing, data engineering, machine learning, and/or mathematical optimization.

• Proven track record of developing and deploying models for complex physical systems.

• Clear, concise presentation and communication skills, with the ability to articulate intricate analytical concepts to diverse audiences, including those without a technical background.

• Strong proficiency in Python for large-scale, production-grade projects.

Our offer in return for your talent and skills

To reward your contributions, we offer you:

• A hybrid work environment - we have working days at the office on Mondays and Thursdays

• Paid lunch

• Pension contribution of 4.5%

• Mental well-being guidance through OpenUp

• Macbook Pro 16”

• Travel allowance for office commute

• Annual learning budget of € 1,000

• Work from home budget of € 550

• Monthly wifi & phone plan reimbursement of € 50

• Unlimited holidays and we expect you at least to take 25 per year

• Each quarter we have a big company event on Friday that includes dinner and special activities

*At Source, we highly value diversity of backgrounds and thoughts. Research has shown that people make different internal assessments of whether they are a good fit for the job. We therefore highly encourage you to apply for this job, even if you feel you might not 'tick all the boxes!