Lead Data Scientist - Control Engineering
About the Role
As the Lead Data Scientist of our Control Irrigation team, you will be responsible for setting the modelling vision and ambition for our fertigation models in line with our company and R&D strategy. You will prepare the roadmap for your team in collaboration with other departments and build performant AI models to help greenhouse growers irrigate optimally every day. You will work closely with our Product and Engineering teams to deliver the best product to our customers, and with our Operations team and growers to translate their feedback into model improvements for future versions. You will manage and coach a team of Data Scientists and report to our VP of Science.
Key Responsibilities
- Push the boundaries of data science and plant science to build state-of-the-art models for innovative products.
- Own the end-to-end modelling decisions for a large scope, from early brainstorming to delivery in production systems.
- Create robust logic pipelines that run 24/7 and autonomously control the irrigation process in greenhouses globally.
- Combine data, domain knowledge, science, growers’ experience, statistics, and AI/ML tooling to solve critical business problems.
- Embody Source’s mission of building the world’s best Data & AI solutions for growers and translate it into actionable steps.
- Shape the trajectory of Source’s Science department as part of the leadership team.
Qualifications
- MSc or PhD in a quantitative discipline.
- Education and experience in modelling physical systems in silico.
- Proven track record of developing models for production environments.
- Deep knowledge of systems modelling, control engineering, signal processing, data engineering, machine learning, and mathematical optimisation.
- Experience in leading teams of scientists, including coaching and performance reviews.
- Structured problem-solving abilities.
- Clear presentation and communication skills.
- Business acumen and empathy.
- Experience working in Python for large projects.
- Good knowledge of software development best practices and cloud deployment principles.
Our Offer
- Hybrid work environment with office days on Mondays and Thursdays.
- Paid lunch on office days.
- Flexible hours.
- Pension contribution of 4.5%.
- Mental well-being guidance through Open Up.
- Macbook provided.
- Curiosity and learning sessions.
- 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 with a minimum of 25 per year.
- Source Super Social (S3) - Thursday drinks.
- Quarterly company events with dinner and special activities.
About Source.ag
Source.ag is at the forefront of AI technology for greenhouse agriculture, empowering growers to produce more with minimal environmental impact. Our AI solutions, such as Source Track, Source Cultivate, and Source Irrigation Control, form the operating system for greenhouses worldwide, supporting daily operations and enhancing productivity.
Join us in our mission to make fresh fruits and vegetables available and affordable sustainably, and be part of a team that values curiosity, ownership, collaboration, and continuous growth.
Benefits Extracted with AI
- Hybrid work environment
- Paid lunch on office days
- Flexible hours
- Pension contribution of 4.5%
- Mental well-being guidance
- Macbook
- Curiosity and learning sessions
- Travel allowance
- Annual learning budget of €1,000
- Work from home budget of €550
- Monthly wifi & phone plan reimbursement of €50
- Unlimited holidays
- Source Super Social (S3) - Thursday drinks
- Quarterly company events
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