Everything we do is driven by our love for music, podcasts & books. Today, we are the world’s most popular audio streaming subscription service with a community of more than 615 million users. We are looking for an outstanding Data Scientist to join the band and our Content Analytics team to drive insights and learning around our growing Audiobooks format.
What You'll Do
Perform analyses on large sets of data to extract actionable insights that will drive decisions for our audiobook partner teams across Licensing, Growth, and Editorial. Develop new, localized reporting layers for regional audiobook teams. Engineer novel data sets, features, and reports that shed a new light on the dynamics of how users engage with audiobooks and capture emerging content trends in markets. Craft high impact presentations and communicate data-driven insights and recommendations to various audiences, through clear visualizations and data storytelling. Partner with other data scientists and non-technical collaborators alike to develop and expand learning agendas for new regions. Who You Are
3+ years of proven experience analyzing complex data with SQL, Python, and/or R. You have a degree or equivalent experience in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics. Previous experience with the book publishing industry and/or consumer-facing digital apps preferred; other media, entertainment, or technology experience is also highly valued. You are curious and not afraid of exploring new domains; you enjoy partnering with others to define and develop new opportunities. 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 a plus. Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Europe region as long as we have a work location. This team operates within the EST time zone for collaboration.
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Perform analyses on large sets of data to extract actionable insights that will drive decisions for our audiobook partner teams across Licensing, Growth, and Editorial. Develop new, localized reporting layers for regional audiobook teams. Engineer novel data sets, features, and reports that shed a new light on the dynamics of how users engage with audiobooks and capture emerging content trends in markets. Craft high impact presentations and communicate data-driven insights and recommendations to various audiences, through clear visualizations and data storytelling. Partner with other data scientists and non-technical collaborators alike to develop and expand learning agendas for new regions. Who You Are
3+ years of proven experience analyzing complex data with SQL, Python, and/or R. You have a degree or equivalent experience in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics. Previous experience with the book publishing industry and/or consumer-facing digital apps preferred; other media, entertainment, or technology experience is also highly valued. You are curious and not afraid of exploring new domains; you enjoy partnering with others to define and develop new opportunities. 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 a plus. Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Europe region as long as we have a work location. This team operates within the EST time zone for collaboration.
#J-18808-Ljbffr
