Data Scientist (m/f/d)

at Esprit
Published November 6, 2022
Location Amsterdam, Netherlands
Category Data Science  
Job Type Full-time  


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.