Spotify

Data Scientist

Spotify$108K — $135K *
Media
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in a quantitative field (e.g., Computer Science, Mathematics, Economics)
  • 1+ years of experience in data analysis or data science
  • Proficient in Python and SQL, with familiarity in AI coding tools
  • Experience in building data visualizations and dashboards
  • Knowledge of A/B testing and statistical modeling
  • Effective communicator who translates data into actionable strategies
  • Passionate about podcasts, video, and creator-driven content

Responsibilities

  • Act as an analytics partner to Podcast & Video content teams
  • Identify emerging trends in podcast and video consumption
  • Transform complex data into actionable playbooks
  • Design measurement frameworks to evaluate content and product impact
  • Build AI-powered dashboards for data visualization
  • Leverage AI tooling to enhance analytical workflows
  • Synthesize data findings into compelling narratives

Benefits

  • Flexible work location with the option to work from home
  • In-person meetings to foster collaboration
  • Opportunities to work across US and European timezones
Full Job Description
What You'll do

  • Act as a core analytics partner to Podcast & Video content teams, providing deep-dive research and insights that shape long-term, data-driven programming and product roadmaps.
  • Identify emerging trends in podcast listening and video consumption, pinpointing opportunities in priority markets to keep Spotify's Podcast & Video strategy ahead of the curve.
  • Transform complex data into scalable, actionable playbooks that empower global content and product teams to execute high-impact strategies.
  • Design measurement frameworks using causal inference, experimentation, and modelling to quantify the incremental impact of Podcast & Video content and product decisions.
  • Build and iterate on AI-powered dashboards and data visualisations that make Podcast & Video data more accessible and intuitive for stakeholders across the business.
  • Leverage AI tooling, including LLMs and agentic coding assistants, to automate analytical workflows, accelerate insight generation, and explore new frontiers in data storytelling.
  • Synthesise data findings into compelling narratives that drive alignment across Product, Engineering, and Content stakeholders.
  • Gather stakeholder input to understand and translate their needs into clear data requirements and deliverables, supporting documentation, and knowledge sharing across the team.


Who You Are

  • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, or Economics.
  • You have 1+ years of relevant experience performing data analysis or data science. In particular:
    • You are proficient in Python and SQL and an early adopter of AI coding tools such as Cursor, Claude, Codex, or GitHub Copilot.
    • Experience building data visualisations and dashboards; familiarity with AI-assisted or code-driven charting approaches (e.g. D3.js) is a plus.
    • Experience with A/B testing and statistical modelling.
    • A demonstrated track record of integrating AI and LLM tools into your data science workflow, whether for analysis, automating repeatable tasks, or building intelligent data products.
  • You are a confident communicator who can ground subjective, creative discussions in objective data.
  • A storyteller who creates value for the business by translating data into actionable strategy.
  • You are passionate about podcasts, video, and creator-driven content. Previous experience in audio, video, or broader creative industries is an advantage.
  • You are based in New York and comfortable working with crossover into other US and European timezones regularly.


Where You'll Be

  • This role is based in New York.
  • 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.


$108,097 - $135,121 a year

About Spotify

Spotify is a Swedish audio streaming and media services provider, launched in October 2008. The platform is owned by Spotify AB, a publicly traded company on the New York Stock Exchange since April 2018. Spotify's primary business is providing an audio streaming platform, with the company claiming that it had 345 million active monthly users and 155 million paying subscribers as of December 2020. Unlike physical or download sales, which pay artists a fixed price per song or album sold, Spotify pays royalties based on the number of artist streams as a proportion of total songs streamed on the service. Spotify distributes approximately 70% of its total revenue to rights holders, who then pay artists based on their individual agreements. Spotify has faced criticism from artists and producers including Taylor Swift and Thom Yorke, who have argued that it does not fairly compensate musicians. Spotify has also faced criticism from artists and producers including Taylor Swift and Thom Yorke, who have argued that it does not fairly compensate musicians.
Learn more about Spotify
Size
3,456 employees
Industry
Founded
2006

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