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Data Scientist – Music Promotion
SpotifyData Scientist improving Spotify’s Discovery Mode and promotion tools for artists. Building product analytics, dashboards, and experiments that drive customer engagement and music-industry growth.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Science with a strong focus on product analytics, experimentation, and data-informed decision-making. Proficient in using tools like Python, SQL, and Tableau to derive actionable insights and improve product offerings.
Highest-signal resume keywords
Data Science ExperienceProduct AnalyticsPython ProficiencySQL ProficiencyTableau Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceProduct AnalyticsExperimentationExploratory AnalysisSuccess Metrics
Soft Skills
Strong Communication SkillsAbility to Influence Decisions
Tools & Technologies
PythonDBTBigQuerySQLTableau
Industry Keywords
AdvertisingCustomer EngagementData-Informed Decision-MakingPromotion ToolsUser Research
Tech Stack
Tools & technologiesBigQueryPythonSQLTableau
About the role
Key responsibilities & impact- Partner with product, engineering, and user research to build the technology powering Discovery Mode
- Work with data scientists, researchers, product owners, engineers, designers, marketers, and others to develop promotion tools for artists
- Identify impactful product-development opportunities based on user needs
- Define metrics and build dashboards measuring product health and success
- Build and test hypotheses with data scientists to generate actionable product insights
- Improve and expand Spotify’s promotion products
- Contribute to the data science community by evolving best practices and learning new skills
- Maintain rigorous, data-informed decision-making to drive business impact
- Focus on customer engagement and reporting for Spotify’s self-serve Discovery Mode product
Requirements
What you’ll need- Demonstrated ability in a similar Data Science role
- Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field
- Experience with product analytics, including crafting success metrics, performing exploratory analysis, and presenting findings with clear product recommendations or implications
- Experience as a Data Scientist using experimentation to drive product development
- Hands-on experience with Python, DBT, BigQuery, SQL, and Tableau
- Strong communication skills and ability to explain sophisticated topics in straightforward terms
- Ability to communicate to audiences with varied data science experience and influence product or feature decisions
- Experience with advertising is a bonus
- Ability to work within the Eastern Standard time zone for collaboration
Benefits
Comp & perks- Equal opportunity employer
- Reasonable accommodations during the interview and application process
- Permanent employment