Website Stripe

 Stripe Careers: Join the Data Science & Analytics Team

Stripe, a global leader in financial infrastructure, is on a mission to increase the GDP of the internet. We are looking for rigorous thinkers to join our vibrant Data Science community. Millions of companies—from ambitious startups to the world’s largest enterprises—rely on Stripe to move money, and our data scientists are the ones who make sense of that complex global economy.

Whether you are based in our Seattle, New York, or South San Francisco HQ, or working remotely across the United States, this is an unprecedented opportunity to do the most important work of your career.

 About the Role: Insights, Modelling, and Data Storytelling

As a Data Scientist/Analyst at Stripe, you will not just “pull data”—you will partner deeply with product and business leads to drive company-wide initiatives. You will translate business needs into data problems and deliver actionable recommendations through high-level data storytelling.

Key Responsibilities:

  • Strategic Partnership: Extract insights from Stripe’s rich, complex financial data to help products grow responsibly.

  • Data Engineering: Build metrics, scalable data pipelines, and automated reports to inform business strategy.

  • Visualisation: Design and maintain dashboards that provide near real-time insights for leadership.

  • Data Literacy: Build self-service tooling and provide training to empower stakeholders to be data-literate and self-sufficient.

  • Executive Reporting: Create high-impact reports such as Quarterly Business Reviews (QBRs) and Monthly Business Reviews (MBRs).

Candidate Requirements & Qualifications

Stripe values grit, integrity, and a rigorous approach to problem-solving.

Minimum Requirements:

  • Experience: MS/MA + 2 years OR BS/BA + 3 years of full-time experience in Data Analysis, Business Intelligence Engineering, or Business Analytics.

  • Technical Skills: Expert proficiency in SQL is mandatory.

  • Core Competencies: Proven ability to manage multiple projects, maintain attention to detail, and communicate results to drive impact.

  • Pipeline Management: Ability to implement and maintain data pipelines and dashboards.

Preferred Qualifications:

  • Prior experience at a growth-stage internet or software company.

  • Experience with distributed data frameworks like Apache Spark.

  • Working knowledge of Python and strong statistical foundations.

  • Familiarity with engineering best practices (code reviews, testing, Git).

Work Location & Flexibility (Hybrid & Remote)

Stripe offers a flexible “best of both worlds” approach to work:

  • Hybrid (In-Office): Office-assigned Stripes (NYC, Seattle, SF) spend at least 50% of their time in the office for in-person collaboration.

  • Remote: Available for candidates living 35+ miles (56+ km) from a Stripe office within the United States.

 Pay, Benefits, and Growth

Stripe is committed to competitive compensation and holistic well-being.

  • Salary Range: $146,900 – $220,300 USD per year (depending on location and experience).

  • Additional Benefits: Equity (RSUs), 401(k) plan, comprehensive medical/dental/vision, and wellness stipends.

  • Culture: A community focused on constant learning, skill growth, and shared success.

 How to Apply

The application window for this role is typically open for 100 days, but business needs may cause it to close sooner.

  1. Review Your Skills: Ensure your resume highlights your SQL mastery and data pipeline experience.

  2. Submit Today: Visit the Stripe Careers portal to begin your application.

[Apply Now: Data Science & Analytics at Stripe]

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