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Data Scientist - Audiobook Content Analytics

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United Kingdom

Offer summary

Qualifications:

3+ years of experience with SQL, Python, R, Degree in Computer Science, Mathematics or Statistics, Experience in book publishing industry preferred, Experience with data visualization tools like Tableau.

Key responsabilities:

Analyze large data sets for insights
Develop reporting layers for audiobook teams
Create presentations with data-driven insights
Collaborate across teams to build learning agendas

Spotify Music XLarge http://www.lifeatspotify.com

5001 - 10000 Employees

HQ: Stockholm

See more Spotify offers

Job description

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.