AI Engineer

Main tasks:

• You will be part of the CRM Analytics Squad whose goal is to exploit the databases present in the DWH (Teradata, Cloudera) to guide the actions of the marketing teams. The team is composed of a mix of people active in BI/Data Science activities and performing different tasks such as segmentation, predictive models development, Power BI dashboard, SQL or Python scripting

• As an AI Engineer, you will play a fundamental role of support to the Data Scientists: provide data that can be used in the creation of their predictive models, define and maintain framework to store the results of the models, monitor the performance of the models,…

• You love to manipulate data to extract maximum value and make it usable for your colleagues (feature engineering). For this, it is essential to combine your technical knowledge with the ability to put yourself in the shoes of the customer in order to understand the drivers of their behaviour (e.g. buying behaviour, churn,...) that you try to reproduce through our databases.

• You make sure new data that are needed become available in DWH. You launch and follow up on these requests towards the IT department, you help to clarify the requirements, …

• You will develop or support the development of reporting in Power BI; For example, you will be responsible of the existing PBI report that follows the performance of the predictive models.

• You will also support the activities of the TV advertising team by creating the needed datamarts and feeding them into the TV advertising process.

• All this means that you will be equally at ease in direct contact with our colleagues from the marketing team to determine requirements (data requirements, report layout to be developed, improvement of business operations) as with more technical people (IT developer) to clearly determine your requirements in terms of data provisioning.

Skills:

• Strong knowledge of SQL (Teradata /Oracle) – with experience in a business intelligence context

• Strong interest for Predictive Modeling: you will not develop models yourself but you have a clear interest in the domain

• Strong knowledge of database management & datawarehouse

• Knowledge of Big Data tools (Hadoop, Hive, Python, Spark, ..) is a plus

• Knowledge of Power BI is a plus

• Dynamic, entrepreneurial, self-starter, stress resistant, pro-active, constructive mind-set and fast learner profile.

• Strong communication skills & result oriented

Languages:

Dutch/English or French/English

Education:

• Bachelor or Master degree (or equivalent in experience) in IT, quantitative analytics, economics, marketing, ...

• Min 5 years of experience in an analytical business environment