Suchbegriff

Data Scientist, Advanced Analytics, Data Analytics eCommerce (m/f/d)

Reference Code: DE-X-LGN-20-07202
Location(s): Langen

Your Key Responsibilities

  • Responsible for exploring and examining data for use in predictive and prescriptive modelling in order to create a deep understanding of the eCommerce business drivers-/opportunities and to deliver those insights to the business
  • Manage data ecosystem and analyze large-scale data sets (e.g. revenue contribution, customer groups, search behavior, online/competitive prices) to recognize relevant topics, patterns, trends and shifts
  • Explain and interpret the driving forces behind observations and assumptions
  • Ensure the right analytical and visualization techniques are in place
  • Work closely and collaborative with relevant internal interfaces globally and locally

Your Qualifications

  • University degree in Mathematics, Statistics, Computer Science, Physics or Economics
  • Several years of professional experience or PhD in the field of data science, analytics or similar
  • Experience with MS Office, SQL and Data Science language such as R or Python
  • Experience with BI Tools (Qlik, Tableau or similar) desirable
  • Experience with SAP incl. Business Warehouse, Microsoft Azure and/or machine learning are a plus
  • Fluent in English spoken and written, German and further languages are advantageous
  • Good communication skills and ability to work in cross cultural environments as well as a proactive, self-motivated and autonomous way of working
  • Data-oriented personality with high interest in continuous professional development in data science, e.g. analytics, artificial intelligence, big data, machine learning, programming
Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to getting to know you.
Please note that applications via some mobile devices may not be possible.


If you have any questions please contact:

Markus Lennartz

Schaeffler Autom. Afterm. GmbH & Co. KG

Seite teilen

Schaeffler verwendet Cookies, um Ihnen eine optimale Nutzung zu gewährleisten. Durch die weitere Nutzung dieser Website stimmen Sie der Verwendung von Cookies zu. Weitere Informationen

Akzeptieren