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Data Scientist (m/f/d)

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Date: Nov 25, 2022

Location: Amsterdam, Netherlands, 1013 BC

Company: ESPRIT Europe GmbH

You're whip-smart and know that in today's world, a job is more than a job - it's about working in a field that inspires you. We value diversity and each individual's unique contribution that makes Esprit a fantastic brand - and place to work. Join the Esprit Family and be part of an international lifestyle company where you can make a positive impact in the world of fashion.

We are looking for

Data Scientist (m/f/d)  
 

to support our Team. (ID 25683) 

 

Your tasks

  • You perform data analysis on large scale data sets in the context of marketing data
  • You define and provide relevant customer and product master data for personalization and segmentation
  • You design, implement and analyze A/B tests to fine tune customer profiling
  • You run machine learning projects from start to end
  • You develop predictive and analytical models to provide insights to improve our communication with our customers
  • You work closely with CRM, Digital marketing, External agencies etc.
  • You implement various measures to evaluate the performance of implemented projects/the development of reports
  • You constantly observe the market and optimize existing models and technology within the scope of personalization initiatives

 

 

Your skills

  • You have an IT degree with focus on business administration or similar qualification with wide professional experience in a comparable position
  • You have experience with data science programming languages such as SQL, Python, and Pyspark and Microsoft Azure stack Databricks, Data Lake, Power BI , and SQL Database
  • You have proficient command of English 
  • You have the ability to understand and grasp concepts
  • You have a hands-on mentality and a solutions and focused way of working
  • You are characterized by your structured and analytical way of thinking and understanding

 

Are you a good match for this Job?

Then please submit an application with your salary expectations and an indication of your earliest starting date.