Why This Job is Featured on The SaaS Jobs
This Data Scientist role stands out in the SaaS landscape because it sits at the intersection of product decision-making and a subscription content platform, where measurement discipline directly influences roadmap choices. The remit spans both podcast and video, signalling a multi-surface analytics environment where audience behaviour, content performance, and product changes need to be evaluated in a consistent way rather than in isolated reporting streams.
For a SaaS career, the work builds durable strengths in experimentation, causal inference, and scalable measurement frameworks, all core to modern product analytics. The emphasis on turning analysis into playbooks and dashboards mirrors how SaaS organisations operationalise insights across functions, not just within data teams. Exposure to AI-assisted workflows and automation also reflects an emerging expectation for data scientists in SaaS to increase leverage through tooling, reproducibility, and faster iteration cycles.
The role is best suited to an early-career analyst or data scientist who prefers close partnership with product and content stakeholders and is comfortable translating ambiguous questions into testable approaches. It will fit someone who enjoys narrative-driven communication alongside technical depth, and who can work effectively with geographically distributed teams while remaining anchored to a New York hub.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
The Podcast & Video Analytics team sits within Spotify’s Content Analytics organisation and partners closely with Podcast, Video, Product, Engineering, and Content teams to shape the future of creator-driven experiences on Spotify. The team's mission is to empower strategic decision-making through world-class analytics, helping Spotify better understand audience behaviour, content performance, and emerging consumption trends across podcast and video formats.
Operating at the intersection of data science, content strategy, and technology, the team develops scalable measurement frameworks, uncovers actionable insights, and pioneers new analytical approaches using AI and advanced modelling techniques. By translating complex data into compelling narratives and practical recommendations, the team helps ensure Spotify continues to innovate and lead in the rapidly evolving Podcast & Video landscape.
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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
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This role is based in New York.
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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.
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$108,097 - $135,121 a year
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