Lead Data Scientist

  • Data Science
  • Amsterdam, Netherlands

Lead Data Scientist

Job description

​​Source is seeking a talented individual who is driven to push the boundaries of the status quo and explore the unknown. You'll partner with our CTO & Director of Data Science to create ground-breaking technology. This is an incredible opportunity to bring positive change to the global food system. At Source we are building an international, multi-disciplinary team consisting of the brightest talents that the fields of computer & data science, engineering, and agronomy have to offer. As a lead data scientist at Source, you will be leading teams working on models that predict and control plant growth and climate in high-tech greenhouses.

What we’d love you to get excited about

  • Building complex suites of machine learning and optimization models to predict and control the greenhouse climate & plant phenotype

  • Deploying software products in the real world, with an end-to-end mindset, from connecting to live data pipelines to monitoring a productionized model

  • Leading a team of talented individuals, data scientists, plant scientists, and software engineers; and collaborating closely with a product manager and product analysts to deliver full-fledged products to our customers

  • Owning your work end-to-end, with opportunities to show initiative and define your course of action, gradually expanding your scope

  • Coaching a team of data scientists to develop both their technical & soft skills

  • Support your team with some hands-on work, you like to get your hands dirty

  • Supporting the team of software engineers in order to coordinate architecture decisions, technical build & deployment with model development

  • Working hand-in-hand with growers to deeply understand the problems at stake & defining ways to solve them

Job requirements

You have a natural curiosity and you love to find the right solution for a specific problem. We expect you to be especially eager to learn the Plant Science aspect of our business which is critical to the success of our models. Further, you have:

  • MSc or Ph.D. degree in a quantitative discipline

  • Proven track record of independently developing machine learning/optimization models, in a production environment

  • Experience with leading a diverse team to deliver end-to-end AI products

  • Business acumen, able to consider both technical and operational aspects in making decisions

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

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

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

Bonus points if you have

  • A combined experience of optimization methods and machine learning methods

  • Experience with deployment in the cloud (AWS)


  • Solid salary

  • Holiday allowance (8%)

  • Equity plan

  • Travel reimbursement

  • A mix of remote and office work (50-50%)

  • Working on a purposeful goal

  • Learning from the best in the industry

  • Lots of fun

Our approach

We strongly believe that a diversity of perspectives are essential to successfully tackling challenges (no matter how small or big). That’s why we want and need people with diverse backgrounds, experiences, and cultures to help us with the complex global challenge we’re trying to solve.

We value eagerness to learn over meeting all requirements. So even if you don’t feel like you meet 100% of the criteria, we’d still encourage you to reconsider and apply. We look forward to your application.

Ensuring a smooth candidate experience is very important to us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to consist of 3 stages (intro call, hiring manager interview, assignment, and panel) which we strive to organize as fast as we can, but please do let us know if you need more flexibility.