Sr. Data Scientist

Translation•San Francisco, CA

7h•Hybrid

About The Position

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).

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.
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.

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.
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 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.