Data Scientist, Royalties and Accounting

Key Skills

Python Programming, SQL, Google BigQuery, Data Visualization, Pandas, Tableau, Google Cloud Platform (GCP)

Job Description

We are looking for an experienced Data Scientist to work with our Royalties and Accounting data team. You will join a team in charge of data operations for royalty calculations and will be tasked with performing analytics over royalties and product related data, develop analysis to provide insights to internal and external partners, and help find opportunities for automation.

What You'll Do

• Work in a team of highly motivated data analysts / scientists using large data sets to solve sophisticated problems in a dynamic environment
• Perform the technical components of our monthly royalty calculation process ensuring the timely creation of payables, completion of quality checks, and analysis of payable outputs
• Collaborate with our engineers and data scientists to support the development and implementation of system and process improvements to support royalties calculations, product configuration, and reporting
• Work with accounting team members to define requirements for ad-hoc data analysis and reporting, being able to work independently to propose solutions to address business needs
• Support ad-hoc requests from various internal teams (Accounting, Legal, Licensing, Financial Planning, etc) as well as external music licensors that require analysis of royalties and streaming data

Who You Are

• You have 3+ years of experience using databases and analytic tools to tackle business problems
• You have excellent verbal, written and interpersonal skills and the ability to prioritize and deliver results in a fast paced environment with a wide variety of business challenges
• You have worked with financial data and/or performing data reconciliations and quality assurance testing
• You enjoy using automation to reduce the burden of manual processes
• You have experience in the data extract, transform and load process including data cleansing and quality review
• You have a degree in information systems, computer science, or another quantitative field
• You have technical experience including: SQL, Python / Pandas, BigQuery / Google Cloud Platform, Tableau, Qlik Sense, or other visualization tools, and command line operations