Senior Data Scientist M/W/D
SAS Institute Inc
Germany, Germany
vor 11 Tg.

Company Overview

As a world leader in Big Data Analytics, Machine Learning and Artificial Intelligence, SAS is at the very forefront of many of the industry’s latest trends.

We help market leading organisations turn data about customers, performance, financials and IoT devices into information they can use to innovate and drive transformation within their business.

SAS Retail / CPG Solutions combine innovative technology and advanced analytics with deep business expertise to help our clients make effective decisions.

SAS Retail / CPG Solutions help customers answer critical questions related to cost reduction, revenue and margin increasing, efficiency and effectiveness streamlining in different business areas.

We are currently looking for a Data Scientist to join our Pre-Sales team in Supply Chain for Retail and CPG Industry who will support selling of world’s leading analytical tools and solutions.

In this position, you will support sales and our customers in the field of advanced analytics with advice on machine learning and analytics with mathematical-

analytical methods. As a Data Scientist you have the task to convince our customers and interested parties of the professional quality of the SAS solutions and to advise them on solving analytical questions and improving the processes of the analytical life cycle.

Your tasks :

  • Analysis of customer needs and expert advice, support and control of the customer in the design and implementation of projects with SAS software
  • Responsible sales support from a technical perspective
  • Presentation and positioning of SAS topics, solutions and services for customers and prospects
  • Development of implementation concepts and innovative solutions based on customer requirements
  • Conception and execution of workshops
  • Technical support of the SAS software
  • Active market observation, preparation of competitive information and development of strategies to increase market potential
  • Assistance in the processing of tenders
  • Know-how transfer to colleagues and partners
  • Support for SAS public image through presentations at industry conferences, technology forums, and social media presence
  • Your profile :

  • University degree in quantitative studies or computer science
  • Profound knowledge of quantitative data analysis, paired with knowledge of SAS software or similar statistical software packages as well as practical experience with tools of the analytical open source world
  • Enjoy analysing empirical data and applying mathematical-statistical techniques combined with a high affinity to technology and innovation to create creative and practical solutions
  • Location :

    This role is based from any of our Germany offices we require excellent written and spoken German & English.

    Note - Candidates must be eligible to work in Europe & not require visa or sponsorship at any stage throughout the process

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