As an Advanced Data Analyst / Data Scientist you use the data of millions of visitors to help Coolblue act smarter.
After a coffee break, you pass by Giel, The Domain Boss. During the last 2 months, you've been assigned to the Pricing Domain. You have an appointment about the revision of the current price-elasticity estimation.
Whew, its already lunchtime. You have a walk outside with your team members and grab some food. After lunch, you work on testing some Regularized Regressions for predicting sales. Afterward, you summarize the results.
Time to relax. After a game of table tennis with your colleagues there is still one thing you have to do. You share your findings and results with the stakeholders before discussing a follow-up proposal with Matthias, Haseeb, and Madeleine (members of the Data Science Core team).
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What you tell people at parties
"I am the Nostradamus of data. I analyze data sources in order to understand the past and predict the future."What you really do
You perform variable, complex, and in-depth analyses by using statistical models and methods.
You help create end-to-end Data Science solutions, starting with data gathering, feature engineering, and modeling before finally delivering results.
You design and implement procedures that deliver insights on a daily, weekly, or monthly basis.
You develop statistical and machine learning solutions by bringing together data, algorithms, and business processes in our systems.
You collaborate with the Tech Development team to ensure the best technical implementation.
How you do it
You act as an internal consultant, assigned to a specific domain to help develop solid, scalable, and reliable business solutions.
Sometimes you will also be a member of the Data Science Core team, where we develop scalable, and reliable solutions. Your focus lies with algorithms, data sciences techniques, and engineering.
You're fully aware of the fact that you first need to understand specific business problems in overall terms, before you can start working on a feasible solution.
You know how to properly use machine learning techniques and are able to quickly create prototype. If needed, you're also able to bring this prototype into production.
Team
Most of the time, you'll be be working in multidisciplinary teams. When working as a team member of the Data Science Core team, you'll work within a Scrum environment. In short, you get to cooperate with lots of different interesting people, such a Business Analyst, Data Engineer, and your teammates of the Data Science Core team.A day at the office
Your day starts with a quick revision of our monitoring figures. You've spotted some unexpected figures and together with Peter you're going to take a closer look. Before the daily stand-up, you've discovered that the unexpected figures shouldn't negatively affect our operations. Even so, you decide to inform the team and create a story for your backlog.After a coffee break, you pass by Giel, The Domain Boss. During the last 2 months, you've been assigned to the Pricing Domain. You have an appointment about the revision of the current price-elasticity estimation.
Whew, its already lunchtime. You have a walk outside with your team members and grab some food. After lunch, you work on testing some Regularized Regressions for predicting sales. Afterward, you summarize the results.
Time to relax. After a game of table tennis with your colleagues there is still one thing you have to do. You share your findings and results with the stakeholders before discussing a follow-up proposal with Matthias, Haseeb, and Madeleine (members of the Data Science Core team).
What we're asking
Youre smart and you have a way to prove it (University-level degree, MSc. or PhD. in Mathematics, Computer science, Artificial Intelligence or Statistics).
You have at least 3 years of experience in writing scripts in both Python and/or R.
You have 4 years of relevant experience (in a corporate settings) in a similar environment,
Youre comfortable manipulating and analyzing complex, high-volume, high-dimensional data from varying sources.
You have some experience with Data mining, SQL, BigQuery, and NoSQL.
You have a sound experience in applying Machine Learning techniques like GBM, Random Forest, Elastic-Net, Deep learning, and demonstrable experience in applying those techniques (or similar) successfully in a corporate setting.
Previous experience with Big Data technologies such as Spark, Hadoop, Cassandra, or Redis is highly desirable.
Experience as a consultant in Advanced Analytics domain is a plus.
You have the ability to effectively multitask and prioritize in an Agile team.
Youre an analytical thinker, flexible problem solver, and a team player.
What we're offering
Money.
Travel allowance and a pension plan.
Plenty of space for creativity.
Over 30 training courses at our own Coolblue University.
25 leave days. As long as you'll promise to come back.
Discount on a new bicycle. Because that's how we roll.
Relocation assistance, from A to Z (if you live abroad).
An office at the best possible location. It's only a short stumble away from Rotterdam Central Station. Or a 2-minute walk.
Parties. All-night LAN.
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