Role Overview
As a Data Scientist in our Control Irrigation team at Source.ag, you will be instrumental in developing fertigation models that autonomously control the water and nutrients for plants in greenhouses. You will engage in rapid iterations from exploratory data analysis to implementing concrete improvements in our live products. Collaborating closely with Product and Engineering teams, you will ensure the best solutions are delivered to our customers.
Responsibilities
- Develop and refine models for autonomous greenhouse systems.
- Collaborate with Product and Engineering teams to integrate models into live systems.
- Work with Operations teams and growers to incorporate feedback into model improvements.
- Own modeling initiatives end-to-end, from brainstorming to packaging and monitoring.
What We Offer
- A hybrid work environment with office days on Mondays and Thursdays.
- A pension contribution of 4.5%.
- A Macbook and necessary tech support for deep tech roles.
- Opportunities for professional development with an annual learning budget of €1,000.
- A work from home budget of €550 and monthly reimbursements for wifi & phone plans.
- Unlimited holidays with a minimum expectation of 25 days per year.
About Source.ag
Source.ag is at the forefront of AI technology for greenhouse agriculture, aiming to enhance the climate-resilient production of fresh fruits and vegetables. Our AI solutions empower growers to manage operations effectively and increase yield predictions accuracy with minimal planetary impact.
Ideal Candidate
- MSc or PhD in a quantitative discipline.
- Experience in systems modeling, control engineering, signal processing, data engineering, machine learning, and mathematical optimization.
- Proficient in Python for large projects.
- Excellent communication skills to explain complex analytical concepts to diverse audiences.
- Passionate about plant science and its integration into AI models.
How to Apply
Interested candidates are encouraged to apply through our careers page. We value diversity and encourage applications from all backgrounds.
Benefits Extracted with AI
- Hybrid work environment
- Paid lunch on office days
- Pension contribution of 4.5%
- Macbook
- Curiosity and learning sessions
- Annual learning budget of €1,000
- Work from home budget of €550
- Monthly wifi & phone plan reimbursement of €50
- Unlimited holidays
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