Data Science Manager - Content Analytics, Podcasts & Studios
New York City
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 a data professional to lead and nurture a team of Data Scientists. The Content Analytics, Podcasts & Studios team (or CAPS) is instrumental in carrying out Spotify’s podcast strategy, and helps define success measures, track performance, and rapidly learn and iterate to deliver content that delights our users. You will use sophisticated techniques on large sets of data to build useful business insights and recommendations.
What You'll Do:
- You will lead, manage, and grow a team of Data Scientists
- Contribute to the strategic leadership of the broader Content Analytics group
- Become the company’s central point of accountability for analysis, data tools and datasets related to Spotify’s original & exclusive podcasting strategy, acting as a trusted advisor to leadership
- Communicate data driven insights and recommendations to key stakeholders at the Director, VP, and Executive levels
- Oversee primary data analysis on podcast consumption and user behavior. Define critical metrics and measure & report on the business impact of Talk Studios & Partnerships initiatives
- Manage tooling that surfaces podcast performance to stakeholders across the company
- Help direct the pipelining and data infrastructure work that undergirds content analysis
- Work closely with cross-functional teams of creatives, business owners, product owners, marketers, data scientists, and others who are passionate about Spotify’s success
Who you Are:
- You have 2+ years of experience as a people manager leading a team of Data Scientists
- You are passionate about podcasts and popular culture in general. Previous experience in media is a strong plus for this role. Other entertainment or technology experience is also valued
- 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
- 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
Where You'll Be:
- We are a distributed workforce enabling our band members to find a work mode that is 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.
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 role is not eligible for hire in Colorado, USA.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Content creation Data analysis Economics Engineering Feature engineering Machine Learning Mathematics Python R SQL Statistics Streaming Tableau Testing
Perks/benefits: Career development
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