Sr. Data Scientist
External
Unitedmasterstranslation · San Francisco, CAPrepare for this interview
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About the role
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). This role is based in San Francisco with four days in-office and one day remote.
Responsibilities
- 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.
- Prototype algorithmic implementations and testing efficacy using appropriate experimental design and hypothesis validation.
- Build and optimize data pipelines and feedback loops into models to assist with business decision making.
- Assist with the development of in-house tools to analyze and process large data sets.
- Research new data sources, build proof of concepts, and maintain processes to ensure quality and integrity. Develop robust measurement strategies across experimentation, modeling, and analytics.
- Gather, extract, and compile data sources across relevant tools like SQL and Python.
Requirements
- Masters degree in Statistics, Econometrics, or another math- or statistics-related field plus one (1) year of experience in the job offered or as a data scientist, data analyst, or other closely related position. Related experience must include:
- Econometrics
- Experience with machine learning techniques including logistics regression, decision trees, random forests, and k-means
- Experience developing in-house tools to analyze and process large data sets
- Experience with Python, SQL and experimentation frameworks.
- At least 3 years operating at a senior/lead level on a top-tier product team, ideally with a user base of independent creators or small business owners.
- Demonstrated track record of setting product strategy for a significant area and driving measurable business outcomes.
- Hands-on proficiency with AI tools you actively use them to prototype, accelerate research and decision-making, and build artist-facing capabilities.
- Artist obsession with a strong bias for action.
- Use quantitative and qualitative data to derive actionable insights.
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