Data Scientist (Demand Forecasting)

Apply now

Data Scientist (Demand Forecasting)

Do you know the feeling when your preferred delivery slot for your groceries is not available? Or when that one specific product that you need is not in stock? Pieter Pot is looking for a Data Scientist who is eager to solve these challenges with Demand Forecasting!

Full-time · Rotterdam

Where are we now?

Continuous monitoring, working on improvements and learning from the past, is how we currently work at Pieter Pot. 

As Data Scientist Demand Forecasting, you will work on predicting the reorders and first orders. These forecast models help us to determine the required capacities in order to ensure both product and delivery availability. 

At the moment, we are comparing two different models, which are based on historical data from Google BigQuery combined with assumptions made by our Growth teams. With the fast growth rate of our orders and customers, the accuracy of our forecast models is getting more and more important. Since there are still a lot of improvements to be made, we are currently looking for fulltime ‘Pieters’ who can contribute to building a solid foundation for our demand forecasts. Are you eager to share and implement your ideas to improve our forecast models for various countries with different seasonalities, customer behaviour, marketing campaigns and weather conditions? Then you are the person we are looking for!

As Data Scientist, you will be part of our S&OP team, balancing the needs of both Growth as well as Operations. Our team is currently made up of 2 working students focussed on demand forecasting and a fulltime Supply Chain Analyst. You will work together with the Growth, Data & Tech teams, as well as with a lot of other people which will be added to our Pieter family!

It will be your responsibility to expand current models, challenge the existing models with new models, and increase the user experience by automating the processes involved. This is the case for both the current scope of Pieter Pot, as well as new products and new countries which will be added. By also sharing your insights with other teams and external stakeholders, you will help Pieter Pot with a scalable growth towards a package-free future!

About the job

  • Tackling business challenges by monitoring and improving the demand forecast;

  • Using data, data and more data to make useful analyses: historical data, marketing experiments, conversion percentages and online available data for e.g. new product groups and weather forecast;

  • Generating statistical order and product forecasts, as a solid foundation for the short- and long-term Sales & Operations Planning;

  • Collaborating with development teams to improve the forecasts for new countries and products;

  • Using your data knowledge to coach our working students and mature the role of our team;

  • Providing insight in the necessary actions that need to be taken to realize the ambitions of Pieter Pot!

What do you bring?

  • Masters in Econometrics, Business Analytics, Data Science, other relevant studies, and/or approximately 2 years of working experience within this field;

  • Seeing improvement opportunities and taking initiative to implement these;

  • Being able to explain and illustrate complex data analyses to various stakeholders;

  • Feeling at ease with fast changing environments and the flexibility that comes with it;

  • Experienced with SQL, Python and Excel;

  • Last but not least: driven to making package-free groceries the new standard!

    What we offer

  • We are growing fast, both nationally and internationally, asking you to grow with us. This results in a lot of room to implement your own ideas and vision;

  • The opportunity to making a big difference for a better world;

  • Flexibility in working hours and locations;

  • Jar with money at the end of the month;

  • 25 holidays and travel compensation;

  • Compensation for mobile phone or laptop;

  • Comprehensive pension plan;

  • Discount on your package-free groceries at Pieter Pot;

  • Awesome Pieter Pot drinks (with a.o. Karaoke, disco ball and Nintendo Switch).

Yes, you're still here!

Are you enthusiastic to start as our brand new Data Scientist in Demand Forecasting? Then we are looking forward to receiving your application! If you have any questions, feel free to contact

Preferable start date: 1 June/July, 2022 

The next steps in the application process are as follows:

  • CV check
  • First conversation
  • Interview + case
  • Contract offer