Stripe is looking for a Data Scientist to partner with teams across the company to ensure users, products, and the business have the necessary models, data products, and insights for decision-making and responsible growth. The role aims to leverage Stripe's extensive data to drive company-wide initiatives and provide actionable business recommendations.
Requirements
- Proficiency in SQL and Python
- Strong statistical knowledge
- Expertise in visualization and using data insights to make recommendations and achieve goals
- Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
- Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
Responsibilities
- Partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly.
- Work closely with partners to extract insights from Stripe's rich and complex data.
- Work with leaders to translate business needs into data problems.
- Build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.
- Deliver actionable business recommendations through analyses and data storytelling.
Other
- 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
- Proven ability to manage and deliver on multiple projects with great attention to detail
- Ability to clearly communicate results and drive impact
- Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.
- This role is not eligible for hire in the Greater Seattle Area, Greater NYC Area, or San Francisco Bay Area
