Sr. Data Scientist

technology

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Location San Francisco, CA
Work Type On-site
Employment Type Full Time
Posted On June 24, 2026
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Job Description

Who We Are UnitedMasters is building a marketplace that connects artists, brands and fans – empowering artists to earn and grow. UnitedMasters has taken the bold step of building a music distribution service that, radically, puts artists first – disrupting the legacy music business by letting up-and-coming artists distribute their music directly to fans through streaming services while maintaining ownership of their master recording rights and up to 100% of royalties. Through the combination of UnitedMasters’ music distribution platform and its deep ties to brands, UnitedMasters enables independent artists and change-makers to grow and earn unlike any other platform. The UnitedMasters team is made up of musicians, marketers, engineers, and storytellers with backgrounds from YouTube, SoundCloud, Pandora, Facebook, Uber, Dropbox, Complex, VICE, and more. We work hand in hand with the award-winning creative teams that forge those innovative partnerships at Translation (our in-house creative advertising agency). Position is based at the employer’s office in San Francisco, CA with a hybrid work arrangement. Employee is required to work on-site at the San Francisco office four (4) days per week and may work remotely from home on the remaining day. Employee must reside within a normal commuting distance of the San Francisco office What You’ll Do Work with Music, Product and Engineering teams to develop and apply statistical methods to transform large amounts of structured and unstructured data into predictive models to drive product management. Apply machine learning techniques (including logistic regression, decision trees, random forests, and k-means) and experimentation frameworks to design and develop explanatory and predictive models from consumer behavior data to identify niche markets, target specific demographics, and optimize marketing efforts. Prototype algorithmic implementations and testing ef

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