Data Science Manager, Music Partnerships
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!What You'll Do:
- Manage and mentor a team of hard-working data scientists as part of the Content Analytics group
- Become the company’s central point of accountability for analysis, data tools and datasets related to Spotify’s partnerships with the music industry, acting as a trusted advisor to leadership
- Manage a roadmap of long term projects, such as identifying emerging artists at scale, or automatizing quarterly insights for Spotify’s music licensors
- Carefully craft presentations for senior management at top industry partners, covering their current performance and future opportunities on Spotify
- Advance the use of data science with Spotify’s music partnerships teams, including rolling out prediction models into business processes, and using AB-testing to influence Spotify’s product development
- Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling
Who you Are:
- You have experience managing a team of Data Scientists or Analysts
- Previous experience in the music industry is a strong plus for this role. Other media, entertainment, or technology experience is also valued on top of being passionate about music and popular culture in general
- You are an effective communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights.
- You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
- 5+ years of relevant experience analyzing complex data with SQL, Python, and/or R
- You have further technical expertise in data science:
- Experience building data visualizations and dashboards (e.g. Tableau or similar BI solution),
- Modeling and statistical knowledge is valued (e.g. forecasting, AB-testing, or feature engineering for machine learning)
- Experience architecting and scheduling datasets is valued.
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 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This position is not eligible to be performed in Colorado.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Economics Engineering Feature engineering Machine Learning Mathematics Python R SQL Statistics Streaming Tableau Testing
Perks/benefits: Career development
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 Data Science Manager jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Big Data Engineer jobs
- Open Business Data Analyst jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Research 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 Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open PhD-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs