
Data Scientist – Podcast
Spotify
full-time
Posted on:
Location Type: Remote
Location: New York • United States
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Salary
💰 $94,584 - $135,121 per year
About the role
- Develop research questions and undertake data exploration to understand creator monetization, and where we can develop our products to bring greater value to creators.
- Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop and improve monetization tools for creators.
- Define, evaluate, dashboard, and monitor metrics, understanding the root causes of changes.
- Communicate insights and recommendations to collaborators across Spotify to build out our product strategy.
- Maintain a culture of rigor and data-informed decision-making to drive tangible business impact.
- Contribute to the development of the Insights function and the wider analytics community at Spotify.
Requirements
- Demonstrated ability in a similar Data Science role.
- Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
- Deeply curious; interested in the current and future creator ecosystem.
- You have experience with product analytics, including crafting success metrics, performing exploratory analysis and presenting findings with clear product recommendations or implications.
- You have hands-on experience synthesizing insights from data using tools such as Python, DBT, BigQuery, SQL, Tableau.
- 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 product or feature decisions.
Benefits
- health insurance
- six month paid parental leave
- 401(k) retirement plan
- a monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data explorationproduct analyticssuccess metricsexploratory analysisdata synthesis
Soft skills
strong communicationrelationship buildingstorytellinginfluencing