Data Scientist, Finance Data & Insights

Data Scientist

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 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.