Data Scientist, Content Analytics - Music Partnerships

About the Role

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
• 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

Requirements

• You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
• 2+ years of relevant experience analyzing complex data with SQL, Python, and/or R
• You are passionate about music and popular culture in general. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued
• 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
• Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
• Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus
• A curiosity for, and investigative approach towards the ways in which AI reshapes data science and analysis is also valued
• Experience creating and scheduling datasets is highly valued. Knowledge of Google's BigQuery, or DBT is a plus

Nice to Have

• Previous experience in music
• Knowledge of Google's BigQuery, or DBT
• Experience with AI and data science innovations

Qualifications

• Degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, Economics
• Advanced degree is desirable

Benefits & Perks

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays
• Paid sick leave