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Data Scientist, Content Analytics Music Partnerships
Company | Spotify |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Musicians |
Expires | 2023-09-01 |
Posted at | 9 months ago |
Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world’s most popular audio streaming subscription service with a community of more than 515 million users.
- Craft high impact presentations for senior management on the Music Partnerships teams
- Evaluate Spotify’s value exchange with music partners and build compelling data visualization tools to move it forward
- Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening
- Analyze AB-tests and form hypotheses for product improvements in how content reaches listeners
- Perform analyses on large sets of data to extract useful insights that will drive decisions, with a particular focus on artist and release performances
- Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling
- Model statistical predictions to surface growing artists, genres and music trends, so as to advise resource allocation in and around Spotify’s Music organization
- You are an effective communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights.
- 2+ years (5+ years for senior role) of proven experience analyzing complex data with SQL, Python, and/or R
- Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus
- Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
- You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
- You are passionate about music and digital content trends in general. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued
- Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus
- We’ve introduced Work From Anywhere to give you more options!
- While we will ask you to pop into the office from time to time, we are giving you the flexibility to work from home should you choose to do so.
- Working hours? We operate within the EST time zone for collaboration.
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