Data Scientist, Growth

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

We’re looking for talented data scientists to work closely with the Growth Product team. Our mission is to grow self-serve new user acquisition and growing our revenue with new and existing users. We build core experiences for Stripe users in dashboard and across GTM channels to help them understand which Stripe products are for right for them and allow them to build the right integration plan. If you are naturally data curious, excited about both deriving insights from data and experiments and influencing product strategy with data-driven recommendations, we want to hear from you.

What you’ll do

Responsibilities

• Partner closely with Product, Engineering, UX Research, Finance, Marketing, Sales, and Data Scientists on the Growth Product team to identify important questions and answer them with data to shape product strategy
• Design, analyze, and interpret the results of experiments
• Create compelling analyses that tell a story focused on insights and recommendations, not just data
• Apply statistical, machine learning and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products
• Design, implement and launch innovative data science solutions to empower data-driven decisions and products at scale
• Drive the collection of new data and the refinement of existing data sources

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 5+ years of experience in a Data Science role, with a focus on designing and running experiments to solve problems
• Proficiency working with a scientific computing language (such as R or Python) and SQL
• A PhD or MS in a quantitative field (e.g. Engineering, Statistics, Economics, Natural Sciences)
• Extensive experience and passion for product analytics and experimental design
• Expert knowledge of SQL
• Outstanding written and verbal communication skills with the ability to communicate findings to both technical and non-technical stakeholders
• Entrepreneurial spirit that thrives in a fast paced environment, deals well with ambiguity and focuses on driving impact

Preferred qualifications

• Experience with tools for working with “big data” in a distributed fashion (Spark, Hadoop, etc.)
• Experience analyzing financial industry products
• Experience building ETL pipelines
• Good understanding of the development process and best practices (e.g., sprint planning, coding standards, code reviews, testing and validation) with an appreciation for maintaining a high quality bar with low operational overhead