Senior Data Scientist: Elevating Artist-First AI Music

Spotify; United States; Hybrid; USD 145,000 - 207,000; Full time

Benefits offered by this job

Health insurance

Six-month parental leave

401(k) retirement plan

Monthly meal allowance

23 days paid time off

Paid holidays

Job summary

Spotify is seeking a Senior Data Scientist for the Artist-First AI Music lab. You will lead foundational measurement for generative music experiences, design large-scale analyses, and partner with engineers to integrate evaluation signals into product development.

You will translate behavioural and market dynamics into strategic recommendations. You will build metrics and dashboards to monitor product health, impact, and creator alignment, ensuring rigorous, data-driven decision making across

Qualifications

• Significant hands‑on experience in advanced analytics or data science.
• Proficiency in Python and SQL with large datasets.
• Experience evaluating generative/LLM-based systems and user behaviour data.

Responsibilities

• Lead measurement and insights work for generative music experiences.
• Design and run large-scale analyses of generative music systems using behavioural data.
• Collaborate with Engineers and AI Researchers to feed signals into model development loops.
• Identify market and behavioural dynamics to inform strategic recommendations.
• Build scalable metrics and decision systems for AI music quality and safety.

Skills

Python

SQL

A/B testing

Causal inference

Multimodal ML

LLM evaluation

Data storytelling

Experiment design

Tools

Cursor

Copilot

Job description

Spotify is seeking a Senior Data Scientist for the Artist-First AI Music lab. You will lead foundational measurement for generative music experiences, design large-scale analyses, and partner with engineers to integrate evaluation signals into product development.

You will translate behavioural and market dynamics into strategic recommendations. You will build metrics and dashboards to monitor product health, impact, and creator alignment, ensuring rigorous, data-driven decision making across