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Behind the Scenes at Coolblue

Behind the Scenes - Data Science at Coolblue

During this Behind the Scenes event, you'll learn how Data Science is understood at Coolblue and three interesting examples of solutions running in our systems are going to be shown. You are going to see state-of-the-art methods running in a cluster and multi-thread!

Unfortunately, you just missed out. No worries though, there will be plenty of opportunity to attend future events! Make sure you don't miss the next one, by signing up for our IT event updates.

Thursday, April 18th 2019

18:15
Walk-in & food
19:00
Data Science... is it actually about the tooling? by Andres Martinez, Manager Data Science
Andres will briefly talk about how we conceive Data Science at Coolblue. How do we focus in adding value to the company, yet using state-of-the-arts algorithms and methods.
19:10
Forecasting product demand at scale using Gradient Boosting Methods by Mattias Schuurmans, Team Lead Data Science
For an e-commerce shop, it is key to offer the right products at the right time and get them from our warehouse to the customers doorstep within a day. At Coolblue we have built a solution based on Gradient Boosted Decision Trees (GBDT) that is able to accommodate our extremely diverse assortment of products, provides reliable predictions and enables informed decision making on a daily basis.
19:35
Break
19:45
Distributing bids by keywords by Cheryl Zandvliet, Data Scientist
Google Adwords is a very important part of the marketing expenses. Every day we place bids on keywords in order to attract customers to our website. How much should we bid? Should we distribute biddings throughout the week? Something else? During this talk we will give you some insights on how we use a set of Machine Learning methods and advanced analytics so Coolblue optimizes its bidding!
20:10
How a product's price change affects to the whole category? by Alec Minnema, Senior Data Scientist
In addition to have a great delivery proposition and customer service, prices should be set and changed now and then. With the help of Machine Learning techniques we are able to indicate what products will be affected by a particular price change. This ensures that we keep a good product category management. In this talk, we will provide an example of how we apply Machine Learning techniques to this complex and very important matter!
20:35
Tour of our office
21.00
Drinks
22:00
Fin

What's Behind the Scenes like?

Location

Coolblue HQ
Weena 664
3012 CN Rotterdam
The Netherlands
Use Google Maps to plan your trip to our office.

Some other time please

You would like to attend a Behind the Scenes event but you can't make it on the 18th? Sign up for updates on future events. Hope to see you there!

Questions? Fire away!

Questions about this event? Contact Suzanne van den Herik
Questions about working at Coolblue? Contact Jesper Larsen

See you on April 18th and don't forget to check out Careersatcoolblue.com!


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