Python Job: Senior Python Developer with Big Data Background

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Job Skills

Company

Legitary GmbH

Location

Vienna - Austria

Job type

Full-Time

Python Job Details

Legitary GmbH developed a patented machine learning method to audit & verify streaming data for music labels, artists and distributors. As Senior Python developer you will be transforming large datasets in our data warehouse & apply analytical methods deriving unique insights into the music streaming business. Join our mission to bring fairness & transparency to music streaming.

Tasks

  • Normalize large data sets (at TB scale & beyond) of music streaming platform usage data from heterogenous data sources
  • Run data analyses with internal ML apps
  • Perform data exploration on large data sets & be able to generate new insights from the data
  • Report insights to clients & stakeholders
  • Design new product features with data science department based on customer requirements
  • Perform code reviews and provide tests for new code
Requirements

  • Degree in mathematics, statistics, informatics or related fields
  • \ >3yrs industry experience (Python & SQL) with a proven track record of data science & Big Data projects
  • Hands-on experience in data wrangling and manipulation
  • Strong communication skills for reporting results to technical & non-technical audiences
  • A glimpse into our Tech Stack: Dask, Plotly & Dash, Sklearn, Kats, SQLAlchemy, BigQuery, Kubernetes, Gitlab
Benefits

  • Working on the interface of latest machine learning development
  • A young & dynamic team of professionals with tech-background
  • 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 3.500€ 38.5h/week, 14x/year - overpayment corresponding to experience and qualification.
Female candidates are strongly encouraged to apply.
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