Senior Data Scientist

  • Data Science
  • Amsterdam, Netherlands

Senior Data Scientist

Job description

​​Source is seeking a talented person 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 data scientist at Source, you will be working on statistical models that predict and control plant growth and climate in high-tech greenhouses.


What we’d love you to get excited about

  • Using time-series and machine learning techniques to predict and optimize the greenhouse climate & plant phenotype

  • Designing, training, and deploying machine learning models

  • Building models and data transformation pipelines, and integrating them into existing products

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

  • Collaborating with our growing team of data scientists to brainstorm & tackle our challenges in the best possible way

  • Working in a multi-disciplinary environment with specialists in engineering and agronomy

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

  • Supervising and developing a team of junior data scientists

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

  • 4+ years experience working as a data scientist

  • Applied experience with machine learning libraries, preferably using Python

  • Experience in applying data science methods to real-life problems

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

Bonus points

  • If you have experience with optimization methods (e.g. linear programming, gradient descent, optimal control)

  • If you have experience with developing end-to-end models, from ideation to deployment in the cloud (AWS)

  • If we can invite you for a game of Padel (yes, there is a Padel court in our building) 


  • Solid salary

  • 8% holiday allowance

  • 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 is 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.