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We’re partnering with our client, a leading company in music and entertainment, to find a talented Data Scientist to join their Music Publishing Operations team. This role is based in New York City and offers a hybrid work arrangement with a primary remote component. The position is a contractor engagement lasting between 7 to 12 months, suitable for candidates with a strong foundation in data analysis, Python, and SQL, and a genuine interest in music industry data workflows.
Job Responsibility:
Develop and maintain recurring reports to support business analytics and operational oversight
handle incoming data requests, including ad hoc analysis and data extraction
collaborate with cross-disciplinary teams to translate complex licensing and publishing questions into clear analytical problems and insights
create reliable data products, such as dashboards and datasets, to facilitate data-driven decision-making
design automation workflows to streamline processes, reduce manual effort, and ensure operational precision
Requirements:
Must have experience with Looker or Tableau
advanced Python automation
understanding of music industry licensing
skills in building operational tools for process improvement
proven experience managing all aspects of the data science workflow, from data cleaning to modeling
proficiency in SQL and working with large, complex datasets
intermediate skills in Python programming
ability to communicate technical findings effectively to non-technical stakeholders
strong focus on data quality, accuracy, and repeatability
familiarity with integrating AI tools into data workflows