All roles

Data Scientist, Content Analytics - Music Partnerships

Remote · USA Full-time New today

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 678 million users. We are 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 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
  • Where You'll Be

  • This role is based in New York, NY
  • We offer 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.
  • Additional Information

    The United States base range for this position is $89,093-$127,262, plus equity. The benefits available for this position include 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. These ranges may be modified in the future.

    Apply to this Job

    Related roles

    Senior Product Manager - Advertising

    Remote · USA Full-time

    Manager, Business Marketing LATAM

    Remote · USA Full-time

    Senior Accountant, Content Technical Accounting

    Remote · USA Full-time

    Therapy Technician - E 89th

    Remote · USA Full-time

    Physical Therapist - Upper East Side 3rd Ave

    Remote · USA Full-time

    Senior Threat Researcher- Threat Detection Engineer

    Remote · USA Full-time

    Senior Field Sales Engineer

    Remote · USA Full-time

    Territory Account Executive - Norway/Denmark

    Remote · USA Full-time

    Assistant Facilities Manager

    Remote · USA Full-time

    Customer Success Manager – Scale

    Remote · USA Full-time

    Coding Quality Analyst - National Remote

    Remote · USA Full-time

    Part-Time Cashier Opportunity at Van's Golf Shops - Join Our Team and Drive Success in the Golf Industry!

    Remote · USA Full-time

    Experienced Remote Chat Support Specialist – Public Relations and Digital Strategy

    Remote · USA Full-time

    Forward Deployed Software Engineer - US Government

    Remote · USA Full-time

    Senior Staff SWE, AI Agentic

    Remote · USA Full-time

    Product Manager - Mobile App - Full Remote or Hybrid /m/f/d/

    Remote · USA Full-time

    Experienced Full Stack Customer Success Specialist – Empowering Apple Customers Worldwide

    Remote · USA Full-time

    Experienced Live Chat Agent – Deliver Exceptional Customer Support Experience at arenaflex

    Remote · USA Full-time

    Senior Manager, Control Management Issues, Events & Remediation

    Remote · USA Full-time

    Experienced Entry Level Remote Data Entry Specialist for Innovative Technology Products – Utilizing Expertise in Data Management and Organization to Drive Success at blithequark

    Remote · USA Full-time