(Senior) Data Scientist (f/m/d) (Senior) Data Scientist (f/m/d) …

FRED Executive Search GmbH
in Düsseldorf, Nordrhein-Westfalen, Deutschland
Festanstellung, Vollzeit
Letzte Bewerbung, 30 Okt 20
FRED Executive Search GmbH
in Düsseldorf, Nordrhein-Westfalen, Deutschland
Festanstellung, Vollzeit
Letzte Bewerbung, 30 Okt 20
Gepostet von:
Sabrina Walter • Recruiter
Gepostet von:
Sabrina Walter
Our client is an international company specializing in teleshopping and e-commerce. For more than 20 years, the company has stood in Germany for a unique and exciting shopping experience. Since 1996, they have also been represented in Germany and has locations in the USA, Great Britain, Japan, Italy, France and Poland as well as a joint venture in China. It employs around 21,400 people worldwide, around 3,000 of whom are based in e.g. Düsseldorf. The company inspires customers on 15 television channels, which reach around 380 million households, as well as eleven websites/apps and over 270 social media platforms.


Our client would like to transform itself into a "data-driven" company in the course of further digitalization and internationalization. In order to realize this plan, a new "Data Science & Engineering" unit is being established. A new department will be created, which will be closely linked to business, management and technology and offer extensive design and development opportunities.

  • You are responsible for model development, programming & data engineering
  • You define and create new and advanced analysis techniques and approaches
  • You are responsible for ensuring the robustness and quality of our models • In close cooperation with different stakeholders, you define business requirements and the corresponding success criteria
  • They present results and advise the business on applicability
  • When introducing new methods, you take on change management tasks
  • Working with our IT teams, you define requirements for the technology stack
  • You optimize existing methods, technologies and tools and always keep yourself informed about new trends in the market


Demand Profile

  • A completed master's degree (with or without a PhD) in computer science, statistics, machine learning, applied mathematics, physics or another quantitative discipline
  • Several years of professional experience in the field of data engineering, especially with advanced SQL and big data pipeline skills
  • Over 3 years of experience in machine learning with frameworks (such as Scikit-Learn, Keras, TensorFlow, PyTorch, Mllib)
  • Excellent knowledge of analysis techniques, especially in the area of machine learning as well as pattern recognition and optimization
  • Experience in using big data platforms (Spark, Hadoop) for large amounts of data
  • Familiarity with cloud technology stacks (AWS, GCP, Azure) as well as with data visualization tools and packages (Tableau, QlikView, PowerBI)
  • Very good knowledge of at least one scripting language such as Python (preferred) or R
  • Familiarity with container platforms, e.g. B. Docker
  • Business-compliant presentations of complex concepts for a business audience
  • They simplify work processes and easily communicate complex statistical concepts
  • Ability to work in a team and strong interpersonal / intercultural competence
  • Very good spoken and written English (internal language)
  • Good German is an advantage, but not a requirement
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