Data Scientist, Global Sales

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of businesses—from the world’s biggest corporations to the most ambitious start-ups—use Stripe to accept payments, boost their revenue, and expedite new business opportunities. Our goal is to increase the internet's GDP, and we have a mountain of work still to do. This translates into a unique opportunity for you to make the global economy accessible to everyone while doing the most impactful work of your career.

About the team

At Stripe, we are committed to aiding millions of businesses worldwide to find the financial products they need to grow. Hence, our Global Selling team focuses on developing products and services that simplify cross-border business dealings for our users. The team is currently working on products like FX APIs, FX capabilities, cross-border funds flows, and more.

What you’ll do

This is an exciting chance to collaborate with Global Selling leaders across Product, Engineering, Finance, Sales, and Design to shape business strategy and inform product priorities.

You'll be tasked with solving challenging and ambiguous business problems, working independently in a dynamic, high-growth environment. In Stripe's Data Science, the full toolbox is utilized to further our mission of constructing top-tier financial products and infrastructure, from experiments and causal inference to collaborating with our partner teams to rigorously define and predict metrics. If this sounds exciting, we hope you'll join us!

Responsibilities

• Define and measure key outcome metrics for products catering to our users' needs.
• Design and analyze experiments to enhance product adoption's conversion funnel and target efficacy.
• Apply statistical methods, causal inference, and machine learning to inform product decisions and optimize our products and systems.
• Design and create data sets that facilitate a better understanding of adoption and engagement.
• Work closely with product, engineering, finance, and marketing teams to identify and prioritize the most critical data science projects.
• Create scalable automation solutions using SQL, Spark, and visualization tools.
• Collaborate across functions to remove obstacles and fund new product capabilities.

Who you are

We're seeking an experienced data scientist to partner with the Global Selling team to boost the growth of our products and develop new ones. If you are thrilled about creating the products needed for running Global Businesses, are passionate about data-driven product development and are fired up by designing strategic metrics and causal analyses, then we want to hear from you!

Minimum requirements

• A PhD or MS in a quantitative field (e.g., Statistics, Quantitative Finance, Economics, Sciences, Engineering) or equivalent experience.
• 6+ years of data science/quantitative modeling experience.
• Expert knowledge of a scientific computing language (like R or Python) and SQL.
• Expertise in statistics and experimental design.
• Ability to communicate results clearly and focus on driving impact.
• Experience working with cross-functional teams to deliver results.

Preferred qualifications

• • Prior experience with a product data science team or enthusiasm to learn.
  • Understanding of the wider fintech industry, including the latest trends, challenges, and regulatory environment.
  • Understanding of the Global Business landscape, inclusive of topics such as international business regulations, monetary systems, and tax laws.