Vacature: Crisp in Amsterdam zoekt een Data Scientist | Fulltime | Sluitingsdatum: onbekend.
Are you obsessed with data and enjoy solving complex puzzles? As a Data Scientist you work on different data science and machine learning challenges, for example forecasting our demand, improving our last mile delivery, or generating better recommendations for our customers. You are part of a fast-growing company with positive impact.
Crisp is de supermarkt-app waarmee je heel gemakkelijk producten in huis haalt vol smaak, volop in het seizoen, voor een goede prijs en zonder onnodige toevoegingen. Onze missie is beter eten bereikbaar te maken voor meer mensen. En daarbij kunnen we jouw hulp goed gebruiken! Gelanceerd in 2018, gesteund door het grootste startkapitaal in jaren, is Crisp inmiddels één van de snelstgroeiende scale-ups van Europa.
What you’ll do
As a Data Scientist you are responsible for many different analyses from both operational and customer perspective. As part of our Analytics team, you will work in an extremely data-rich environment in collaboration with managers from different teams including Sales & Operations Planning (S&OP), Warehouse Operations, Product, Growth and Assortment.
You structure, analyse, and model data to translate it into insights. You look for new opportunities for growth, analyse the impact of such initiatives and make that information widely available where necessary. You support colleagues to work more data-driven.
You work on machine learning challenges, such as our demand forecasting model and tools to integrate them in our processes. In doing so, you’ll experiment with using new data and algorithms to improve forecast accuracy. After your experiments, you’ll release new version of your predictive models to production. Our data stack includes BigQuery, PostgreSQL, dbt, Polars, Airflow and Kubernetes, but we’re always open to adopting new technologies.
You get enthusiastic of learning and you like to think in terms of opportunities and possibilities. At Crisp you therefore get plenty of room to develop: in breadth and in depth.
What you’ll bring
We are looking for an experienced data scientist who is able to transmit their expertise to our team. At the same time, we hope you’re eager to keep learning in this rapidly evolving field. As our ideal candidate, you’ll meet these requirements:
- You have at least 5 years of professional experience as a data scientist, ideally in an (online) retail or e-commerce environment.
- You have a master’s degree in a STEM (bèta) field.
- You have technical expertise in the field of Machine Learning.
- You’re an expert in statistical analyses and data science techniques, including hypothesis testing, regression and classification.
- Your mindset is one of growth, learning and possibility.
- You’re a good communicator. You are able to explain your models in clear language to business stakeholders from different disciplines.
- You’re fluent in Dutch and English (written and spoken).
What we offer
- Working at a B-Corp certified company where you have the opportunity to make your mark on our food system and drive real change.
- Enthusiastic and enterprising colleagues to work and learn with.Plenty of opportunity to take responsibility from day one.
- A look behind the scenes of one of the fastest developing companies in the European market.
- A great pension through BPFL.
- For now a personal budget for yoga, sports, mobility and downtime via ClassPass, Swapfiets and Blendle and many, many more.
- Food for thought with monthly workshops and talks at Crisp University.
- Time to get to know your colleagues during sports, events and tastings.
- Amazing lunch, drinks and the more-than-occasional home-baked cake every day of the week.
- And… a sweet discount on your Crisp groceries, because you’ll likely also want to eat well at home.
At Crisp, we strive for an inclusive and diverse work environment where everyone is welcome, regardless of their background, gender, age, ethnicity, sexual orientation, religion, or ability. We encourage applicants with diverse perspectives and backgrounds to apply and believe in equal opportunities for all. We value the unique contributions each employee can bring and are committed to creating an inclusive workplace where everyone is respected and appreciated.
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