The opportunity
Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives.
What you'll do
Design and build scalable data models and infrastructure to power product: analytics and metrics reporting as we launch and grow new products
Own business-critical data products, including Tier-1 datasets and production: pipelines, ensuring reliability through rigorous testing, monitoring, and documentation
Build and maintain the metric definitions, metadata, and business context: that enable AI agents to help stakeholders explore trusted data and answer business questions independently
Develop dashboards, automated reporting, and thoughtful analyses to surface: actionable insights and proactively identify business opportunities
Partner closely with senior business leaders to translate business needs into: analytical questions and deliver clear recommendations through deep-dive analyses
Shape product and business strategy across global markets by distilling: complex findings into compelling data narratives for senior stakeholders
What they're looking for
- + years of full-time experience in Data Engineering, Analytics Engineering,: Business Intelligence Engineering, or a related analytical role
- Proficiency in SQL, including complex query optimization and data modeling
- Proficiency in Scala or Python for data pipeline development, not just scripting and SQL
- Experience with distributed data frameworks like Spark to write and debug data pipelines
- Experience with workflow orchestration tools (e.g. Airflow, Flyte, or equivalent)
- Proven ability to design, implement, and maintain production-grade data pipelines and dashboards
- Good understanding of development processes and best practices like: engineering standards, code reviews, and testing
- Ability to clearly communicate results and drive impact with cross-functional partners
