Data Scientist - Finance Data & Insights, Ads and Podcasts
About the position We are looking for a Data Scientist to join our Ads and Podcasts team within the Finance Data & Insights organization. This role is perfect for someone who enjoys combining strong SQL, Python, and data skills with a deep curiosity for how financial data drives business decisions. Your mission will be to build automated systems supporting data operations for enterprise and individual podcast creator payout calculations, perform analytics over advertising revenue, and provide insights to both internal and external stakeholders within Accounting, Financial Planning & Analysis (FP&A), and the broader Finance organization. This role will also include opportunities to build AI data infrastructure for our Finance organization.
What You'll Do
Work with a cross-functional team of data scientists, engineers, and finance representatives to define and test requirements for enhancing revenue recognition systems and data products Develop systems, datasets, and processes to support the ingestion, analysis, and reporting of advertising delivery, revenue, and cost data Support ad-hoc requests from various internal teams (Accounting, Legal, Licensing, Financial Planning, etc) as well as external podcast publishers that require analysis of advertising data and systems Continuously innovate on how we produce insights by leveraging AI tools Collaborate with a group of highly motivated individuals who are passionate about Spotify’s success Who You Are 2+ years of experience in data analytics, ideally with experience in financial data analysis Skilled in translating complex data into actionable insights for partners Able to own and solve complex business problems with data Fluent in SQL, Python, and data pipelining tools like dbt Experienced with visualization tools like Tableau and Looker Studio Able to communicate with both technical and non-technical teams to understand problems and articulate proposed solutions Have experience performing testing and validation of datasets and outputs created by other teams or members of your team Have a background with both finance and technical experience, with a Bachelor’s degree in Finance, Accounting, Information Systems, Mathematics, Statistics, Computer Science, or another quantitative discipline Where You'll Be This role is based in New York, NY. 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 $94,585 - $135,121 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, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. 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: Responsibilities
- Work with a cross-functional team of data scientists, engineers, and finance representatives to define and test requirements for enhancing revenue recognition systems and data products
- Develop systems, datasets, and processes to support the ingestion, analysis, and reporting of advertising delivery, revenue, and cost data
- Support ad-hoc requests from various inter
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