Data Scientist - Music Mission

1 month ago
Full-time
Mid Level
Data Science and Analytics
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership.
  • Develop and own success metrics for generative music features and systems.
  • Design and analyze A/B tests and causal studies to evaluate product and model impact.
  • Perform exploratory analyses to identify opportunities that improve experiences for listeners and artists.
  • Build scalable dashboards to monitor feature health and ecosystem impact.
  • Design and run evaluations for generative music systems across prompts, outputs, quality, risks, and opportunities.
  • Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements.
  • Partner with Engineers and AI Researchers to integrate evaluation signals into model development workflows.
  • Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Economics, Operations Research, quantitative social science, or a related field, or equivalent experience.
  • 4+ years of experience as a Data Scientist influencing product decisions through data.
  • Highly proficient in SQL and Python.
  • Experience working with large-scale datasets.
  • Experience using AI-powered tools such as Cursor or Copilot to accelerate analysis and workflows.
  • Strong product intuition and a results-focused perspective.
  • Experience with A/B testing, causal inference, and advanced statistical methods.
  • Ability to exercise strong judgment in methodological choices.
  • Understanding of machine learning systems and ability to evaluate models beyond offline metrics using human judgment.
  • Comfort thriving in ambiguous, zero-to-one environments and defining metrics for new product categories.

Benefits

  • Base salary range of $110,018 to $157,169 plus equity.
  • Health insurance.
  • Six months of paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off.
  • 13 paid flexible holidays.
  • Paid sick leave.

Interested in this position?

Apply directly on the company website

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