Experienced Data Scientist

Experienced Data Scientist


Picnic is an app-only supermarket. We’re data driven with software at our core. Our world-class developers write immaculate code to support the world’s fastest growing supermarket. We’re on a quest for like-minded people to be part of the future of digital grocery shopping.

🏦 Where you fit in

As one of our Data Scientists, you work on creating automated systems to solve everyday problems by using data at scale. You don’t stop after the prototype is done - you productionize it.

In a collaborative environment, you work with different people to identify issues and strategies. With the Growth team, you build a model that tells us how much orders we can expect in a day, week or month, so that our operations can grow accordingly. Together with Customer Success, you construct a system to classify and label issue types in the messages we receive from our customers. You are more than a model builder: you’re an internal consultant, and your expertise and input are valued right from the start.

You might think – ‘I like the sound of it, but 80% of my job is going to be cleaning data’. Not here. Our data is registered, logged, consistent...immaculate. There’s no wasting time. You can immediately start writing prototypes and make an impact on the future of in-app grocery shopping.

We don’t hide our developments. We open-source with the community that helped us grow. If you require more motivation to apply - check out our page:

🔥 What challenges await you

Projects in various fields, such as:

  • Generating useful in-app grocery suggestions for our customers
    • Forecasting order volumes & article demand, used Picnic-wide
    • Predicting delivery drop-off times for our distribution
    • Categorizing and labeling Customer Success tickets
  • Speccing projects with business stakeholders
  • Creating prototypes, validating results and productionizing them on our Kubernetes cluster
  • Owning your projects: helping end users interpret the results, determining next steps, et cetera

👉🏼 Who you are

  • Master’s degree or higher in AI, Computer Science or Mathematics
  • At least two years of experience in Data Science / Machine Learning
  • Superb communication with all kinds of colleagues: 
  • Comfortable with taking responsibility and working independently at times
  • Solid Python and SQL programming skills
  • Experience with Docker, Kubernetes and CI is a pre
  • Out-of-the-box thinking and initiative: Hands-on, nothing-is-impossible mindset
  • Quality control: Commitment to excellence, performance, and efficiency

👨🏼‍💻 Technologies we use

  • Python (Scikit-learn, Tensorflow, aiohttp - or we build our own packages)
  • SQL (Snowflake)
  • Git
  • Tableau


  • iconCV screening
  • iconPhone conversation
  • iconOnline test*
  • iconInterviews
  • iconOn-site day*
  • iconHired

* Depending on the role

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