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SpotifyVerified Direct Sponsor
New York, NY·remote·full time
Live Vacancy·Posted 0d ago

Data Scientist - Music Mission

USD 160,000 – 220,000 / yr
International Work Visa
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Salary Package
USD 160,000 – 220,000 / yr

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Workplace Policy
remote · NE

New York

Application Type
Direct Employer

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71/100 Fit Score
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Job Description & Specifications

Official role breakdown, eligibility standards, and core responsibilities

Role Overview

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify.

We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead.

In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.

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Job Overview

EmployerSpotify
LocationNew York, NY
Workplaceremote
CompensationUSD 160,000 – 220,000 / yr
Posted0 days ago
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