Data Science Manager, Revenue and Financial Management

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 are working to make the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. It is too difficult and expensive today for fast growing companies to produce financials and analyze their businesses. We are laser focused on building an end-to-end solution for users to grow their revenue.

What you’ll do

Responsibilities

• Lead a team of data scientists and analysts to:
• Partner with Finance & Strategy to identify key business insights, trends and needle moving ideas through rigorous data analysis mapped to financial outcomes
• Partner closely with product and engineering teams to identify and prioritize the most important data science projects
• Recruit great data scientists and analysts, in collaboration with Stripe’s recruiting team
• Create a healthy and high-performing team through leadership, mentorship, and facilitating career development for managers, data scientists, and data analysts
• Contribute to Data Science org-wide initiatives as part of the Data Science management team

Who you are

We are looking for an experienced data science leader who can build and inspire a team as well as lead the development of impactful data products and insights. Your work would span our existing SaaS products like Stripe Billing and Invoicing, as well as the development of new products that are critical for our users to grow their revenue and analyze their business. If you are excited about building new products on Stripe’s platform, live and breathe data-driven product development, energized by designing strategic metrics and causal analyses, then we want to hear from you. 

Minimum requirements

• 8+ years of data science experience, including at least 5+ years of management experience including managing other managers.
• A PhD or MS in a quantitative field (e.g., Statistics, Economics, Sciences, Engineering)
• Expert knowledge of a scientific computing language (such as R or Python) and SQL
• Expertise in statistics and experimental design

Preferred qualifications

• Ability to communicate results clearly, including with senior executives
• A can-do attitude, empathy, commitment to great results, and genuine passion for learning
• Successfully built a team, defined its mission, and executed on its goals