Data Scientist

Added: 24/09/2021

REF: 12279

Contract: Permanent

Location: Munich, Bayern, Germany

Job Title: Data Scientist - German Level B2
Type: Full Time, Permanent
Industry: IT & Services 
Location: Munich, Bayern
Company Description:
A leading AI and Data Science service provider are looking to expand there Data Science department which already has 30+ people. Together with the rapidly expanding team, you will work with some of the World's most recognizable brands as you help them with end-to-end Data Science services to create invaluable information. 

Responsibilities:
  • You are a wide-ranging Data Scientist who will partake in client communication to understand requirements and technical projects to help bring clients objectives to life
  • You will create value for clients at all stages of the project lifecycle from the initial ideation stage to the deployment of novel algorithms into production. 
  • You will use your strong business understanding to gather requirements and then combine powerful advanced analytical methods with solid programming to transform data into continuous assets
Qualifications: 
  • You will have 2 years of experience in solving business problems with analytics and large datasets with strong knowledge of statistics and Machine Learning
  • You have the exceptional ability to communicate with customers and understand their needs
  • You are an open and collaborative person who enjoys working in a collective environment 
  • Experience in two of the following: Python/R, SQL, MATLAB, Java, C++, C#, Scala, Spark
  • You possess an academic degree in a relevant subject area e.g. Business, Mathematics, Life Sciences, Computer Science
  • You are OK with usual trips to client's offices  
  • You are fluent in English and have the ability to communicate in German at a B2 Level
This is an excellent opportunity to join a data-driven organization, dedicated to optimizing their clients processes by understanding and extracting value from data. Apply now or email scott@alldus.com directly. 

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