As Data Scientists, we work in a challenging environment where understanding and solving business problems is what we love. We use vast amounts of data to do so. Our main responsibilities are: solving business challenges, and implementing the solutions in production environments. We build products that deliver the required value to our stakeholders. You will be a key part in all of this.
The industrialisation of Data Science solutions is a crucial part of our responsibilities as a department. To build our products, you will work with state-of-the-art methods, the latest technologies, and large amounts of data from many different sources to make Coolblue even better at making our customers happy. You will work in a team of experienced Data Scientists following the Scrum framework. You will have room for working and learning independently while being guided and coached by our Senior Data Scientists. Do you want to become a Junior Data Scientist in the Commercial Planning team of Coolblue? Read below to see if the job suits you.
- Supplying the right forecasts to many departments within Coolblue, and thereby having an important contribution into making the right planning decisions. Think about Customer Service, Storing, Picking, Packing, Returns, Stores, Purchasing.
- Automating stock management decisions. Such as: when do we need to reorder at our suppliers, and how many units should we order? Or: how to distribute our stock over our central warehouse and all of our store warehouses?
- Discussing with stakeholders to understand their needs and collaborating with Domain specialists, Analysts, Data Engineers and Data Scientists from other teams to make a better solution.
- Identifying relevant relationships in our data that might serve us to improve or create better models.
- Creating and improving our own modeling software.
- Querying data from our systems and processing it in a way that allows you to view the situation with clarity.
- You have a MSc in Mathematics, Computer Science, Econometrics, Operations Research or Statistics.
- You combine an understanding of business challenges with strong data-analytic thinking.
- You have experience with SQL and / or BigQuery.
- You have good knowledge of Python.
- You take ownership of your product and guard the quality yourself.
- You enjoy brainstorming with your colleagues to improve the team ideas and products.
- You see feedback as an opportunity to improve.
- You are interested in improving and maintaining data science products in production environments focusing on increasing the usefulness for stakeholders and the company.
- You are into both, researching and engineering.
- You have had an analytical position before.
- Money.
- Over 30 training courses at our own Coolblue University.
- Travel allowance and a retirement plan and where-you-work-allowance.
- 25 days of leave. As long as you promise to come back.
- A discount on all our products.
- An extraordinarily good work environment with colleagues from all over the world who make you happy, epic (digital) Coolblue parties, pub quizzing, and other activities.
- Working together in an international environment with colleagues from the Netherlands, Belgium, Germany, China, Portugal, India, Greece, and Colombia, among others.
- Room for new initiatives and ideas. We’re always open to those, whether you’ve been with us for a week, a month, or a year.
- Hybrid working: a fine balance between working at the office and working from home. Of course, we’ll help you create the best home-office possible. Including desk chair, laptop, and blue garlands.
