Lead Data Scientist - Control

Together, we are on a purpose-driven journey to make a meaningful and lasting impact on the world through our work in cracking biology. Our mission? Make fruit & vegetables available and affordable to more people in a sustainable way. We work with the best and biggest greenhouse growers in the world. As we deeply value the work growers do, we help them by offering AI products that give them superpowers. Our commitment to the grower's satisfaction fuels our drive for excellence.

Our values are the foundation of our commitment to achieving our mission of empowering growers. Curiosity at our core drives us to explore new possibilities and remain flexible and open. We think and act like owners, taking responsibility and aiming for excellence in all we do. Embracing a shared adventure fosters collaboration and unity, while a growing over comfort mindset ensures we are constantly evolving and improving. Being purpose-driven anchors our actions, ensuring that every effort is aligned with our greater goals. These values are essential, guiding us in our journey and shaping our collective success.

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; for preparing the roadmap for your team in collaboration with other departments; and for building with your team performant AI models which help greenhouse growers irrigate optimally every day. You will work closely with our Product and Engineering teams to bring the best product to our customers, as well as with our Operations team and growers to translate their feedback into model improvements for next versions. You will have a team of Data Scientists reporting to you, who you will manage and coach on a daily basis. You will work alongside the other Lead Scientists of Source, and report to our VP of Science.

What we’d love you to get excited about

• Pushing the boundaries of data science and plant science to build state-of-the-art models fuelling innovative products for our customers

• Owning the end-to-end modelling decisions for a large scope, from early brainstorming to delivery in production systems

• Creating robust logic pipelines which run 24/7 and autonomously control the irrigation process in many greenhouses all across the globe

• Combining data, domain knowledge, science, growers’ experience, statistics and AI/ML tooling to solve critical business problems

• Embodying Source’s mission of building the world’s best Data & AI solutions for growers and translate it into short- and long-term next steps to move forwards on the journey

• Shaping the trajectory of Source’s Science department as part of the leadership team

You have

• An MSc or PhD in a quantitative discipline

• Education and experience in modelling physical systems in silico

• Proven track record of developing models meant to be used in production environment

• Deep knowledge of systems modelling, control engineering, signal processing, data engineering, machine learning, mathematical optimisation

• Experience in leading teams of scientists, including coaching, focus on personal growth and performance reviews

• Structured problem-solving abilities, to organise work both for yourself and for the team

• Clear presentation and communication skills with the ability to explain complex analytical concepts to people from other fields

• Business acumen and empathy, ability to consider technical, tactical, operational and commercial aspects in making decisions

• Experience working in Python for large projects, in collaboration with Software Engineers

• Good knowledge of software development best practices, as well as cloud deployment principles

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 which we make awesome

• Paid lunch on the office days

• Flexible hours - always respecting your team & meetings.

• Pension contribution of 4.5%

• Mental well-being guidance through Open Up

• Macbook (for the deep tech roles a 16T)

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

• Source Super Social (S3) - Our Thursday drinks (when possible at the rooftop terrace)

• S4s - per quarter we have a big company event on Friday that includes dinner and special activities

*Please note that if you progress to the final round of our selection process, we will kindly request a reference to help us get to know you better.