Data Scientist, Stripe

• 2-5 years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
• Proficiency in SQL and Python
• Strong statistical knowledge
• Expertise in visualization and using data insights to make recommendations and achieve goals
• 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

Desirable

• Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together
• You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives
• We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background
• In this role, you will 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
• You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems
• You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling