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Your job in a nutshell
You build data science solutions from raw data to production. You create impact with insights that help our stores, customers, and colleagues make better decisions. This is how you turn data into value and customers into fans.
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What are we doing it for?
We want to make smarter, faster, and more customer centric decisions every day. Your analyses and models strengthen our stores, improve processes, and help us delight more customers with sharp prices, full shelves and the best shopping experience.
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Your new team
As a Data Scientist, you are part of an enthusiastic, international team of around 15 colleagues. You will report to Wendell Kuling. The team culture is collaborative, entrepreneurial, committed to delivering value, and always focused on learning and continuous improvement.
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Who do you work with?
You work closely with colleagues across multiple departments, including end users, Data Analysts, and business Consultants, as well as IT engineers. Together you build the best data products that help turn even more customers into fans.
From day one, you work on challenging projects that test both your analytical and interpersonal skills. These projects can span the entire Jumbo organization—from logistics to marketing, and from store formula to purchasing. You build data science products from start (raw data) to finish (production ready models). Easily 50% of your time goes into data preparation, exploration, advanced analysis, and even some BI, so it’s important you enjoy that as much as Machine Learning and building AI Agents. We focus on outcomes, not output: customers become fans through better decisions based on the insights you uncover.
Your responsibilities
- Analyze large datasets to uncover insights that improve decision making in stores, online, and in the supply chain.
- Build predictive models that improve forecasting for inventory, product demand, and customer behavior.
- Explore commercial opportunities by analyzing pricing, promotion, and assortment data.
- Develop data agents, dashboards, and automated reports that enable colleagues to use your data science products daily.
- Improve data quality by checking data flows, identifying issues, and resolving them.
- Test, optimize, and implement machine learning models in our production environment.
- Translate complex analyses into clear and actionable recommendations for colleagues outside Data Science.
- Deliver direct business impact with your models, such as reducing waste, improving availability, or increasing customer satisfaction.
A day in the life of a Junior Data Scientist at Jumbo:
- 09:00 – 11:00: Work in Databricks (PySpark) with our large datasets to improve the model that estimates product substitutability—crucial for selecting the right assortment.
- 11:00 – 12:00: Review the latest results of the machine learning models in your portfolio.
- 12:00 – 12:45: Lunch meeting with your DS&A colleagues in our Foodcafé.
- 13:00 – 15:00: Conduct a peer review of a model developed by a colleague to improve loyalty offers, applying insights to enhance our assortment model.
- 15:00 – 17:00: Attend a workshop focused on improving store layout differentiation through a datadriven approach.
Applying for a job, how does that work?
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Send us your application
Tell us who you are and why you would like to work at Jumbo.
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Come to the first interview
We'd love to get to know each other better. This way, we can discover if this job is a good fit for you.
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E-assessment
An online assessment to test your skills.
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Come to the second interview
We'll go a little deeper and get to know each other better.
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Employment contract
We discuss the conditions and record this in your contract.
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Get to work!
We look forward to your first day.
Bart
Gerritse
If you have any other questions about the job, don't hesitate to get in touch!