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Data Scientist - Business Analytics
Spotify Technology · London, England · Posted 15 days ago
Shape Spotify's most consequential strategic questions for a business serving 700M+ users across 180+ countries, presenting findings directly to senior leadership.
We are looking for a Data Scientist to join the Business Analytics team within Spotify’s Business Strategy and Insights organization. Our team tackles some of Spotify’s most consequential strategic questions, shaping the trajectory of our business and improving the experiences of our over 700M active users across more than 180 countries.
In this role, you will use data analysis, experimentation, and statistical modeling to identify, assess, and launch a broad range of new initiatives and product features that span both product and business teams. You will also regularly assess the health of our business and identify areas of opportunity, translating these insights into clear, actionable recommendations for senior leadership.
At Spotify, you'll have access to some of the richest datasets in the world and the autonomy to explore them creatively and rigorously. Above all, your work will shape how the world listens, discovers, and connects through audio.
What You'll Do
- Develop data-driven strategies to support the growth of Spotify’s active users and subscribers
- Create and communicate impactful findings and recommendations that improve the Premium product
- Model and forecast the impact of new business initiatives
- Work closely with business partners to understand the changes they are driving and help them discover new opportunities for growth
- Analyze experiments (A/B tests; quasi-experiments) to measure the impact of new features and go-to-market initiatives
- Present your findings to senior leaders, influencing the course of our business
Who You Are
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This posting is sourced from Spotify Technology's own career site — applying takes you there directly.
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There are 92 open roles at Spotify Technology right now. This role is one of 635 Data Scientist openings and centers on SQL, Python, R, and Statistics.
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