Remote Data Scientist, Content Analytics - Music Partnerships
Hiring: Remote Data Scientist, Content Analytics - Music Partnerships. Remote. US-based candidates only.
Remote Remote Data Scientist, Content Analytics - Music Partnerships. full time. Open to candidates in Remote. Apply now.
About the Role
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, the company is the world’s most popular audio streaming subscription service with a community of more than 678 million users.
Our team is looking for an extraordinary Data Scientist to join the band and build core analytics to support our Music Partnerships teams, meaning the teams at Spotify who interface with artists, artist managers, songwriters, record labels and music publishers.
What You'll Do Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on artist and release performances Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling 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 Model statistical predictions to surface growing artists, genres and music trends, so as to inform resource allocation in and around Spotify’s Music organization Who You Are You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics. Advanced degree is desirable 2+ years of relevant background analyzing complex data with SQL, Python, and/or R You are passionate about music and popular culture in general.
Previous hands-on history in music is a preference.
Key Responsibilities
- Perform analyses on large sets of data to extract actionable 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
- You are a natural communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights.
- Model statistical predictions to surface growing artists, genres and music trends, so as to inform resource allocation in and around Spotify’s Music organization
- Craft high impact presentations for senior management on the Music Partnerships teams
- Background creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus
- A curiosity for, and investigative approach towards the ways in which AI reshapes data science and analysis is also valued.
- Background building data visualizations and dashboards (e.g., Tableau or similar BI solution)
- Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening
- You'll receive you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.
- 2+ years of relevant experience analyzing complex data with SQL, Python, and/or R
- You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
Skills & Tools Mentioned
- Python
- Sql
Frequently Asked Questions
Is this Remote Data Scientist, Content Analytics - Music Partnerships role remote?
Yes — 100% remote. Work from anywhere in Remote.
Employment type for this Remote Data Scientist, Content Analytics - Music Partnerships job?
full time. Ideal for remote professionals.
What skills are needed for this Remote Data Scientist, Content Analytics - Music Partnerships role?
Key skills include Python, Sql. These are core to succeeding in this role.
How to apply?
Click Apply Now above. Rolling interviews.
Submit your application today — this won't stay open long.