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SpotifyData Scientist - Music Mission
Spotify is seeking a Data Scientist to join the Discovery Mode team within its Music Mission. The Music Mission creates promotional products like Discovery Mode, Marquee,…
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About This Role
Spotify is seeking a Data Scientist to join the Discovery Mode team within its Music Mission. The Music Mission creates promotional products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips to help artists and labels grow, engage, and monetize their audiences through listener behavior insights. In this position, the selected professional will act as the analytical lead for a machine learning squad focused on measurement systems and campaign optimization.…
Job Description
Spotify is seeking a Data Scientist to join the Discovery Mode team within its Music Mission. The Music Mission creates promotional products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips to help artists and labels grow, engage, and monetize their audiences through listener behavior insights. In this position, the selected professional will act as the analytical lead for a machine learning squad focused on measurement systems and campaign optimization.
This opportunity is well-suited for a quantitative professional who enjoys collaborating with product managers and machine learning engineers to assess and refine model performance. The role involves designing experiments, building evaluation frameworks, and tackling complex analytical challenges to ensure promotional tools remain accurate and reliable for music creators.
Spotify operates as an equal opportunity employer and provides flexibility for employees to work from designated locations within the Eastern Standard time zone. The compensation package includes an annual base salary ranging from USD 116,994 to USD 167,135, supplemented by equity and various employee benefits.
Responsibilities
- Manage the analytical operations for the Discovery Mode machine learning squad to evaluate and enhance measurement models and campaign optimization.
- Collaborate with machine learning engineers to create evaluation frameworks that elevate model reliability, performance, and customer value.
- Plan and execute rigorous experiments to measure model outcomes, assess quality, and direct future development.
- Perform deep-dive analyses on model performance and deliver clear, actionable insights to product and business stakeholders.
- Create and maintain dashboards monitoring model health, program performance, and customer metrics.
- Work alongside product managers, engineers, and cross-functional teams to match analytical priorities with squad objectives.
- Share best practices with the broader Product Insights community to support analytical standards across Discovery Mode.
Requirements
- Have at least four years of professional background in data science.
- Possess experience in measuring customer outcomes, setting key performance indicators, and linking analytical findings to product decisions.
- Demonstrate the ability to design, implement, and interpret A/B tests with appropriate rigor.
- Show experience evaluating machine learning model performance and working alongside engineers to boost model and customer results.
- Exhibit strong foundational data science skills including Python, SQL, BigQuery, dbt, and data storytelling.
- Bring experience in recommendation systems, advertising measurement, causal inference at scale, or experimentation.
Qualifications
- Hold a degree in data science, economics, statistics, mathematics, or a related quantitative field.
Core Skills
Benefits
- Annual base salary between USD 116,994 and USD 167,135
- Equity
- Health insurance
- Six-month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- Paid flexible holidays
- Paid sick leave
Frequently Asked Questions
What is the salary range for this position?
The United States base salary range for this role is $116,994 to $167,135 USD per year, plus equity.
Where is this job located and what is the remote policy?
The posting does not specify a city location, but allows remote work within the Eastern Standard time zone region where Spotify has a work location.
What are the core experience requirements?
Candidates must have four or more years of data science experience, a relevant quantitative degree, and familiarity with evaluating machine learning models, designing A/B tests, and utilizing Python, SQL, BigQuery, and dbt.
What benefits are provided?
Offered benefits include health insurance, a 401(k) plan, six-month paid parental leave, a monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.