Data Scientist - Royalties and Accounting
New York, NY
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
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
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.
Tags: BigQuery Computer Science Data analysis GCP Google Cloud Pandas Python Qlik SQL Streaming Tableau Testing
Region:
North America
Country:
United States
Job stats:
34
4
1
Category:
Data Science Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs