Legitary GmbH

Technology, Information and Internet

1-10

Full-time (permanent)

Austria

**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.

Employee

<p><strong>Legitary GmbH</strong> developed a patented machine learning method to audit &amp; verify streaming data for music labels, artists and distributors. <strong>As Data Engineer you handle our client&#39;s data and run internal analytics applications to derive insights for them. This makes you a key link between technology development and business application.</strong> Join our mission to bring fairness &amp; transparency to music streaming.</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Import, structure and handle customer data </li>
<li>Run data analyses with internal ML apps</li>
<li>Interpret results and report insights to clients</li>
<li>Customize apps for clients</li>
<li>Design new product features with the data science department based on customer requirements</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>Degree in mathematics, informatics or related fields</li>
<li>Hands-on experience in data handling and manipulation</li>
<li>Good understanding of machine learning methods</li>
<li>Profound R, Python, SQL Skills</li>
<li>Fluent in English and German</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Working on the interface of the latest machine learning development </li>
<li>International career opportunities &amp; deep insights into the music industry</li>
<li>Dealing with top-tier music industry professionals</li>
<li>Dynamic start-up atmosphere with a high scope for action</li>
<li>Creative leeway for your ideas &amp; their implementation</li>
<li>High degree of trust &amp; responsibility</li>
</ul>
<p>Complete application documents: CV, certificates and references for data analytics projects. </p>
<p>Gross monthly salary 2.800€ 38.5h/week, 14x/year - overpayment corresponding to experience and qualification.<br>Female candidates are strongly encouraged to apply.</p>


Data Engineer (f/m/x)

Python Data Engineer

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