Data Science Manager - Content Analytics, Podcasts & Studios

Job Description

Spotify's goal is to become the world's leading audio platform, and the Talk Studios and Partnerships organizations -- including The Ringer, Gimlet, and Parcast -- drive the strategy to build and acquire engaging podcast content in support of this mission. The Podcast Partnerships & Studios team partners with teams across Studios and Talk Partnerships, generating insights to enable data-driven decision-making and further Spotify's global content creation, acquisition, and curation efforts.

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.
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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.

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The United States base range for this position is $134,236-$191,765, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.

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.

Jobcode: Reference SBJ-d8mpnx-18-118-144-69-42 in your application.