Associate Data Scientist, Content Analytics

Key Skills

Python Programming, SQL, Cloud computing

Job Description

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 support our Music and Talk organizations, driving data-informed decisions related to the curation and distribution of both music and podcast content.

Location: United States of America (Home Mix) or Remote Americas

Job type: Permanent

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 and/or podcast recommendations and content performance.
• Engineer novel data sets, features and reports that shed a new light on the dynamics of audio listening.
• Craft high impact presentations for senior management and creative professionals at Spotify.
• Evaluate Spotify’s ecosystem of content 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 of relevant experience analyzing sophisticated data with SQL, Python, and/or R.
• You are passionate about music/podcasts and popular culture. Previous experience with Content 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 theAmericas 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

Our global benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse.
• Flexible share incentives letting you choose how you share in our success.
• Global parental leave, six months off - fully paid - for all new parents.
• All The Feels, our employee assistance program and self-care hub.
• Flexible public holidays, swap days off according to your values and beliefs.
• Spotify On Tour, join your colleagues on trips to industry festivals and events.