Legitary GmbH
Legitary GmbH

Data Engineer (f/m/x)

Employee
Business Analyst

Legitary GmbH developed a patented machine learning method to audit & verify streaming data for music labels, artists and distributors. As Data Engineer you handle our client's data and run internal analytics applications to derive insights for them. This makes you a key link between technology development and business application. Join our mission to bring fairness & transparency to music streaming.

Tasks

  • Import, structure and handle customer data
  • Run data analyses with internal ML apps
  • Interpret results and report insights to clients
  • Customize apps for clients
  • Design new product features with the data science department based on customer requirements

Requirements

  • Degree in mathematics, informatics or related fields
  • Hands-on experience in data handling and manipulation
  • Good understanding of machine learning methods
  • Profound R, Python, SQL Skills
  • Fluent in English and German

Benefits

  • Working on the interface of the latest machine learning development
  • International career opportunities & deep insights into the music industry
  • Dealing with top-tier music industry professionals
  • Dynamic start-up atmosphere with a high scope for action
  • Creative leeway for your ideas & their implementation
  • High degree of trust & responsibility

Complete application documents: CV, certificates and references for data analytics projects.

Gross monthly salary 2.800€ 38.5h/week, 14x/year - overpayment corresponding to experience and qualification.
Female candidates are strongly encouraged to apply.

Updated: 2 days ago
Job ID: 8174068
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About Legitary GmbH
1-10 employees
Technology, Information and Internet
Vienna, Österreich

Legitary is an award-winning music-tech startup powering the monetization of music IP. With our patented AI tools we revolutionize streaming auditing & music IP valuation for music labels, publishers, artists and M&A companies.

Join our mission to bring fairness & transparency to the world of music streaming, leveraging the power of advanced AI technology.

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