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Full Time Spotify Data Science Jobs (NOW HIRING)

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify ... You have 4+ years of experience in a data science role and a degree in data science, statistics ...

... Spotify, Blackstone and KKR. What you will do Join us as our first dedicated Data Scientist to ... bring order to the chaos of culture. You'll extract insights from hard-to-reach data sources to ...

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

... Spotify, Blackstone and KKR. What you will do Join us as Data Scientist Intern to bring order to ... the chaos of culture. You'll extract insights from hard-to-reach data sources to tackle the big ...

This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: * Lead, support, and grow a team of data scientists and data science ...

Position Status: Full Time Posting Number: 23FA0830 Posting Open Date: 08/14/2023 Posting Close ... and data science professionals, by promoting and exemplifying a culture of diversity, equity ...

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Full Time Spotify Data Science information

What is the difference between Full Time Spotify Data Science vs Full Time Spotify Data Engineering?

AspectFull Time Spotify Data ScienceFull Time Spotify Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related fields; experience with machine learning and analyticsDegree in Computer Science, Software Engineering, or related fields; experience with data pipelines and infrastructure
Work EnvironmentAnalyzing data, building models, deriving insightsDesigning, building, and maintaining data pipelines and infrastructure
Employer & Industry UsageUsed across Spotify for product insights, personalization, and recommendationsUsed for data infrastructure, ensuring data flow and availability for analytics

Full Time Spotify Data Science focuses on analyzing data and developing models to improve user experience, while Full Time Spotify Data Engineering centers on building the systems that collect and process data. Both roles are essential, but they differ in skills and daily tasks.

How much do full time Spotify data scientists make?

Full-time Spotify data scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses, stock options, and benefits, reflecting industry standards for data science roles in tech companies.

What cities are hiring for Full Time Spotify Data Science jobs?

Cities with the most Full Time Spotify Data Science job openings:

What are the most commonly searched types of Spotify Data Science jobs?

The most popular types of Spotify Data Science jobs are:

What states have the most Full Time Spotify Data Science jobs?

States with the most job openings for Full Time Spotify Data Science jobs include:

Data Scientist, Finance Data & Insights

Spotify

New York, NY

$116K - $167K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

We are looking for a Data Scientist to join the Finance Data & Insights organization. You will support the Legal and Finance organizations through data analytics and ad-hoc reporting, while using your experience to improve data self-service capabilities and automation through AI tooling. You will also contribute to process automation and provide technical and data guidance to Legal and Finance partners.
What You'll Do
  • Gain and apply a deep understanding of Spotify's data ecosystem to support operational data requirements for legal requests
  • Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and maintain systems and processes that support Legal and Finance
  • Partner with engineering teams to gather requirements and generate outputs for technically complex matters
  • Work with large datasets to solve complex problems in a fast-paced and dynamic environment
  • Improve process efficiency through automation and the delivery of data pipelines that strengthen existing self-service reporting and analytics
  • Collaborate with highly motivated colleagues who are passionate about Spotify's success
Who You Are
  • You have a passion for solving complex problems through data analysis, combined with strong business acumen and excellent communication skills
  • You can communicate effectively with both technical and non-technical teams to understand problems and articulate proposed solutions
  • You can draw meaningful conclusions from analysis and investigations that inform business decisions
  • You have experience validating datasets and outputs created by other teams or members of your team
  • You can identify opportunities to make processes more efficient and translate common workflows into feature requirements
  • You have 4+ years of experience in data analytics, including relevant experience with financial and/or legal data
  • You have a degree in information systems, computer science, finance, mathematics, or another quantitative discipline
  • You have experience performing analysis across large and complex datasets
  • You have strong SQL knowledge and experience using Claude Code, Codex, or other AI platforms for research, routines, and text-to-SQL capabilities
Where You'll Be
  • This role is based in New York.
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
  • We ask that you come in 2-3 times per week.
The United States base range for this position is $116,994-$167,135, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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