Overview
On Site
Full Time
Skills
IT management
Data Science
Internet
Strategic planning
Technical direction
Deep learning
Design of experiments
Finance
Startups
Payments
GDP
Operations
Google Tag Manager (GTM)
Data
Machine Learning (ML)
FOCUS
Analytical skill
Prototyping
MVP
Design
Leadership
Strategy
Roadmaps
Innovation
Mentorship
Planning
Collaboration
Apache Velocity
Research
Forecasting
Dynamics
Job Details
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
The Data Science Organization is a central team that partners with all parts of Stripe: Product, Finance, Risk, Operations, Infrastructure, and GTM. We use data to make sure that we understand our users, their users, the Stripe business, and make near optimal decisions (both automated within the product and strategically). Data Science at Stripe is a mix of ML focus, strategic planning, and analytical depth and we're excited for you to be a part of it.
What you'll do
Responsibilities
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
Hybrid work at Stripe
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
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
The Data Science Organization is a central team that partners with all parts of Stripe: Product, Finance, Risk, Operations, Infrastructure, and GTM. We use data to make sure that we understand our users, their users, the Stripe business, and make near optimal decisions (both automated within the product and strategically). Data Science at Stripe is a mix of ML focus, strategic planning, and analytical depth and we're excited for you to be a part of it.
What you'll do
Responsibilities
- Identify Stripe-wide problems and opportunities that can be tackled through data science; develop evidence of the validity and utility of data science solutions (e.g. through prototypes or MVP); work with relevant teams to design and build the data science components that deliver outsized value to our users and our business
- Provide senior technical direction to working teams and inspire a larger community from across Stripe working in the data science space; assume hands-on leadership, especially when helping teams resolve complex problems and setting the vision for longer term direction coupled with iterative execution
- Be part of the Data Science leadership team, contributing to overall strategy & roadmap
- Evangelize and inspire best practices across data science; lead by example to build a culture of craftsmanship and innovation
- Provide mentorship to our data science talent to help them grow technically and professionally
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
- 12 years of Data Science experience OR equivalent combined work+academic experience in a quantitative field.
- Demonstrated experience of leading company-wide initiatives spanning multiple teams and organizations OR leveraging deep domain expertise to influence tech roadmap planning and execution
- Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes
- Demonstrated ability to balance execution and velocity with research, statistical depth, and scalable design.
- Experience, mentoring, and investing in the development of scientists, engineers, and peers
- Experience with forecasting systems and frameworks
- Experience thinking about marketplace dynamics and complex systems
- Experience with deep learning model development and best practices
- Experience with experimental design and analysis
- Experience with metric development and usage
Hybrid work at Stripe
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.