Data Scientist - Music Analytics
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!
Spotify’s 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 opportunity to enjoy and be inspired by 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. We are looking for an outstanding Data Scientist to join the band and build core analytics to support our Music organization. The Music organization is responsible for editorial music recommendations, programming of music content on Spotify, relationships with the music industry, and artist marketing.
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:
- Perform analyses on large sets of data to extract impactful insights that will drive decisions, with a particular focus on music recommendations and music industry partnerships.
- Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening.
- Craft high impact presentations for senior management at Spotify and at top music industry partners.
- Evaluate Spotify’s ecosystem of music recommendations and build compelling data visualization tools to move it forward.
- Analyze A/B tests and form hypotheses for product improvements in how content reaches listeners.
- Model statistical predictions to surface growing artists, genres and music trends, so as to inform prioritization in and around Spotify’s Music organization.
- Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling.
Who You Are:
- You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable.
- 2+ years (5+ years for senior role) of relevant experience analyzing sophisticated data with SQL, Python, and/or R.
- You are passionate about music and popular culture. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued.
- You are a natural communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights.
- Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution).
- Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus.
- Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus.
Where You'll Be:
- We are a distributed workforce enabling our band members to find a work mode best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Eastern Standard time zone for collaboration
#remote
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: A/B testing BigQuery Computer Science Data visualization Economics Engineering Feature engineering Machine Learning Mathematics Python R SQL Statistics Streaming Tableau Testing
Region:
North America
Country:
United States
Job stats:
43
11
0
Categories:
Analyst Jobs
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 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 Power BI Developer jobs
- Open Data Analytics Engineer 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 Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data Product Manager 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 Airflow-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs