Spotify

Data Scientist - Platform Mission

Spotify$96K — $137K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data science or a related field
  • Proven expertise in experimentation and causal inference
  • High proficiency in data visualization tools like Tableau or Looker
  • Strong programming skills in Python or R and SQL
  • Experience collaborating with engineers and product managers
  • Ability to develop clear narratives to communicate complex insights
  • Keen curiosity and adaptability in tackling data challenges

Responsibilities

  • Design and build performance metric frameworks with Insights Leads
  • Collaborate with data engineers to create and maintain key metrics dashboards
  • Analyze complex datasets to uncover impactful trends and patterns
  • Manage and execute A/B tests and other experimentation methodologies
  • Use statistical techniques to assess product changes for users
  • Produce persuasive data visualizations and reports that drive decisions
  • Expand role into more strategic data analysis and insights generation

Benefits

  • Flexible work arrangements with options for remote work
  • Inclusive company culture emphasizing diversity and accessibility
  • Supportive environment for personal growth and professional development
  • Opportunities for equity participation
  • Encouragement of collaboration across diverse teams
Full Job Description
The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering). We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decision-making. As a Data Scientist on the team, you'll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence-driven decisions.

What You'll Do

  • Partner with Insights Leads and senior data scientists to design and build performance metric frameworks.
  • Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions.
  • Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact.
  • Scope, prioritize, and execute projects including A/B tests and other experimentation approaches.
  • Apply statistical and causal inference methods to evaluate product changes for internal and external users.
  • Create compelling data stories through visualizations and reporting that influence decision-making across the Alliance.
  • Grow into a strategic analytical partner by taking on increasingly complex data challenges.


Who You Are

  • You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action.
  • You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact.
  • You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies.
  • You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large-scale data technologies.
  • You care about building reliable metrics and helping teams make informed decisions using trustworthy data.
  • You have experience collaborating with engineers, product managers, and cross-functional partners.
  • You are curious, adaptable, and excited to grow your craft over time.


Where You Will Be

  • This role is based in Toronto
  • 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.


The Canadian base range for this position is $96,049-$137,213 CAD plus equity.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

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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