Job Properties
  • Job Type
    Full-time Position
  • Category
    Software & Information Technology
  • Languages
    English
  • Experience Required
    Entry
  • Degree Required
    Bachelor
    • Province
      Amsterdam
    • Date Posted
      November 18,2021
    • JSS
    • VISA
    • MOCKINTERVIEW
    • IMG_6430
    • Career Consultation
    • COVERLETTER CHECK
    • CV CHECK

    Data Scientist

    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 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 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 optimise the greenhouse climate
    • Design, train and deploy machine learning models
    • Building models and data transformation pipelines and integrating into existing products
    • Working in a multi-disciplinary environment with specialists in machine learning, engineering, and agronomy
    • Lead and develop a team of junior data scientists


    You have a natural curiosity and you love to find the right solution for a specific problem. If you aren't an expert on crops yet, you are very eager to learn all that is needed and more. 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 and deep learning libraries (e.g. PyTorch or TensorFlow)
    • Experience in applying data science methods to business problems
    • Good presentation and communication skills with the ability to explain complex analytical concepts to people from other fields

    Benefits

    • Base 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.

     
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