
Data Scientist, Content Platform London, England
Job description
Location
Job type
What you'll do
- Contribute to the development of the Product Insights function and the wider analytics community at Spotify.
- Work closely with data scientists, user researchers, product managers, engineers, and others across the company who are passionate about our content catalog.
- Define the metrics we use to measure the success and health of products, and track them through dashboards.
- Design, implement and maintain ETL pipelines in SQL and Google BigQuery.
- Create insights from large sets of data that will help drive product, design decisions and business performance.
- Communicate insights and recommendations to partners across Spotify.
- Be an advocate for data-informed decision-making, making recommendations about the product performance and product experience available to the Marketplace organization.
- Create insights based on huge amounts of data using cutting edge data science tools and methodologies.
Who you are
- Extensive experience building data science solutions.
- Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
- You are experienced in programming in at least one language (Python, R, Matlab, etc.) and fluent in SQL. BigQuery experience is a plus.
- Experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
- Experience visualizing data and/or building dashboards.
- Strong communication skills and value building strong relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
- You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real world product or feature decisions.
- Bonus points for modeling and statistical knowledge, such as forecasting, AB-testing, or statistical modeling and causal inference.
Where you’ll be
- We’ve introduced Work From Anywhere to give you more options!
- We are giving you the flexibility to work either from home in the UK or from our office in London.
Our global benefits
Learn about life at Spotify
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.
