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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 opportunity to enjoy and be inspired by it.
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers across 178 markets. We are the largest driver of revenue to the music business today.
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 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
This role will be based in London.
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Industry :
Music
Spoken language(s):
English
Check out the description to know which languages are mandatory.