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

  • 3+ 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)