Data Scientist - Advertising

Spotify

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New York, NY First seen 1 hour, 37 minutes ago Last seen 1 hour, 37 minutes ago Lever

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Job Description

AI Summary

• Partner with cross-functional teams to generate insights that inform advertising strategy and scale the platform for hundreds of millions of users and thousands of advertisers • Build and maintain data tools, dashboards, and analytics frameworks using Python, SQL, and pipeline tools (e.g., DBT) to support Sales and business decision-making • Design and implement statistical experiments to measure incrementality and lift, with strong expertise in causal inference and rigorous analytical methodologies • Requires 4+ years of data science experience, degree in economics/statistics or related field, and proven ability to solve ambiguous problems independently with minimal oversight • Remote-flexible role within North America (Eastern time zone), with preferred experience in advertising/programmatic and emerging AI/LLM knowledge

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

What You'll Do Partner with other data scientists, data engineers, and business stakeholders to generate actionable insights that inform business strategy Build and maintain tools, dashboards, and insights for Sales as they guide advertisers through their lifecycle on Spotify Advertising Design and implement rigorous statistical frameworks to evaluate incrementality and lift of business investment Translate ambiguous business problems into structured analytical approaches and deliver high-impact solutions independently Write production-quality code (Python, SQL, etc.) to manipulate and analyze large-scale datasets Communicate clear, data-driven recommendations to both technical and non-technical partners Who You Are 4+ years of experience in a data science role, with a degree in economics, statistics, or a related quantitative field. Experience building and maintaining data pipelines (e.g., DBT) and developing scalable dashboards to enable self-serve insights. Strong foundation in causal inference and experimentation, with the technical depth to perform advanced analytics and build robust models.

Proven ability to solve ambiguous, loosely defined problems and translate them into structured, data-driven solutions. Ability to operate independently with minimal oversight while delivering high-quality, reliable work. Clear communicator who can translate complex technical concepts into simple, actionable insights to non-technical audiences.

Motivated to work alongside AI tools, with foundational LLM knowledge and awareness of emerging concepts (e.g., MCP, agent-based systems) and their productivity implications. Experience working in advertising and ideally in the programmatic space. Where You'll Be We offer you the flexibility to work where you work best!

For this role, it can be within the North America region in which we have a work location. This team collaborates across the Eastern time zone

Skills

go python sql

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Job Information

Company:
Spotify
Location:
New York, NY
Job Type:
Full-Time
Experience Level:
Senior
Source:
Lever
Status:
Active

Activity Score

89 /100

Very Active (89)

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