Data Scientist (f/m/d)

Date: Sep 21, 2022

Location: Hamburg, DE, 20259

Company: Beiersdorf


Your Team 

At Beiersdorf’s Data Science Hub we are a trusted partner to all business functions. As such we enable their digital transformation by implementing end-to-end data-driven solutions to gain advanced consumer insights and both automate and optimize business processes. 
Our cross-functional team consists of experts in the fields of data engineering, data science, machine learning engineering and cloud engineering. The software solutions we implement range from demand forecasting over promo campaign optimization and consumer sentiment sensing to cognitive search engines. 


Our tech stack: 

  • Microsoft Azure incl. Machine Learning Workspaces, Cognitive Services 
  • Python 
  • Visual Studio Code 
  • Jupyter Notebook 


Our model stack: 

  • DNNs [Temporal Fusion Transformer] 
  • Bayesian models [DGLM] 
  • Unsupervised learning [Expectation maximization, hierarchical clustering] 

Your Tasks  

  • Design and implement mathematical models as the heart of our data-driven software solutions 
  • Proactively search for new algorithmic approaches and technologies as well as share knowledge across the team 
  • Collaborate with our Data Engineers on the implementation of data pipelines 
  • Work with our Machine Learning Engineers on industrialization of data science models on our MLOps cloud infrastructure 
  • Communicate insights from implemented data science solutions to audiences at all levels and functional areas within Beiersdorf 


Your Profile

  • Master's degree in Mathematics, Physics, Computer Science or in a related quantitative field 
  • Strong statistics and machine learning proficiency 
  • Experience in at least one of the following fields: deep learning, causal graphical models, Bayesian statistics or mathematical optimization 
  • Knowledge of MLOps is a plus 
  • Relevant work experience with Python 
  • Demonstrated strong visualization skills with Plotly, Dash, Power BI or similar 
  • Fluent in written and spoken English. German is a plus 
  • Ability to work in a self-organizing environment and eagerness to continuously learn 

We embrace Diversity and Inclusion and are committed to providing equal opportunities to all of our applicants – regardless of race, gender, age, religion and beliefs, sexual orientation & gender identity, disability, cultural, ethnic or national origins. We would therefore kindly ask you to include only information and data in your documents which are relevant for the assessment of your application (e.g. curriculum vitae with relevant references and certificates) and encourage you to upload your CV without a picture.
If you have any questions, please contact our recruiter Sarah Tönjes every Wednesday between 15h and 16h via the telephone number: +49 40 4909 4956.