Data Scientist Delivery Domain

Developing, industrializing, and managing data science solutions is an important part of our work. You work with modern methods, technologies, and large amounts of data from various sources. You develop forecasts for capacity, workload, and transports and use SQL to unlock data. You work in a multidisciplinary team of data scientists, data analysts, and analytics engineers. You are given the space to work and learn independently, with guidance and coaching from experienced fellow Coolblue employees. This is how you make Coolblue a little better every day.

• Developing forecasts and models that enable the Delivery & Installation domain to make better planning decisions, for example regarding personnel capacity, workload, and the required number of transports.

• Discussing with stakeholders what they need and collaborating with domain specialists, data analysts, analytics engineers, data scientists, and development teams to arrive at better solutions.

• Developing and improving our own modeling software by writing high-quality, production-ready Python code. In doing so, you ensure well-tested, maintainable, and scalable code and reliable pipelines suitable for use in daily operations.

• Unlocking data from various systems using SQL, so that complex operational issues become clear and insightful.

• Writing clear technical documentation, so that models, code, and pipelines are understandable, maintainable, and transferable.

• Money.

• More than 30 training courses in our own Coolblue University.

• Travel allowance, a pension scheme, and a work-from-where-you-are allowance.

• 25 vacation days. As long as you promise to come back.

• Discount on all the products we sell.

• An extraordinarily good working atmosphere with colleagues from all over the world who make you happy, legendary digital team outings, epic moments and other activities.

• Collaborating in an international environment with colleagues from, among others, the Netherlands, Belgium, Germany, China, Portugal, India, Greece, and Colombia.

• Space for new initiatives and ideas. We are always open to them, whether you have worked with us for a week, a month, or a year.

• Hybrid working: a nice balance between working at the office in Rotterdam and working from home. Of course, we help you set up the best possible home workspace, including an office chair, laptop, and blue streamers.

• You have a master's in Mathematics, Computer Science, Econometrics, Operations Research, Statistics, or a similar quantitative field.

• You live in the Netherlands.

• You combine insight into business issues with strong analytical thinking skills.

• You have experience with SQL

• You have good knowledge of Python.

• You take ownership of your products and monitor quality yourself.

• You enjoy brainstorming with colleagues and constantly making ideas and products better.

• You see feedback as an opportunity to further improve yourself and your work.

• You get energy from improving and maintaining data science products in production environments, with a focus on more value for stakeholders and Coolblue.

• You love both research and software engineering.

• You have previously worked in a data science role.

As a Data Scientist, you work in an environment where you understand and solve business problems. To do this, you use large amounts of data. You develop solutions for the Delivery & Installation domain and successfully bring them into production. This is how you help Coolblue make better planning decisions.