Senior Data Scientist (0069-0004)

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.

Education and Experience 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.
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.
Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #0069-0004 in the subject line.

Thank you.