Overview
On Site
Full Time
Skills
Internet
Data Science
User experience
Technical direction
Machine Learning (ML)
Data modeling
Design of experiments
Financial software
Data
Finance
Startups
Payments
GDP
Regulatory Compliance
Prototyping
MVP
Design
Leadership
DirectShow
Strategy
Roadmaps
Innovation
Mentorship
Planning
Collaboration
Apache Velocity
Research
Forecasting
Software deployment
Extract
transform
load
Dynamics
Knowledge management
UPS
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 Risk Interventions Data Science Team aims to ensure we achieve the right balance between mitigating risk and enabling our customers to achieve their business objectives. Working cross-functionally with various teams within the organization, the team is focused on developing models, methods, and frameworks for ensuring efficient compliance with regulatory requirements, appropriately targeted interventions and a low friction user experience.
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
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
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.
A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.
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 Risk Interventions Data Science Team aims to ensure we achieve the right balance between mitigating risk and enabling our customers to achieve their business objectives. Working cross-functionally with various teams within the organization, the team is focused on developing models, methods, and frameworks for ensuring efficient compliance with regulatory requirements, appropriately targeted interventions and a low friction user experience.
What you'll do
Responsibilities
- Identify broad company 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 teams and inspire a larger community across Stripe that are working in the data science space; assume hands-on leadership, especially when helping teams set their long-term vision and resolve complex problems through iterative execution.
- Join the Risk Interventions DS leadership team, contributing to overall strategy, roadmap, and vision.
- 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
- 10 years of Data Science experience OR equivalent combined work and academic experience in a quantitative field.
- Demonstrated experience of leading organization-wide initiatives spanning multiple teams 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 in the development and implementation of machine learning, statistical or forecasting frameworks
- Experience with data modeling and the deployment of ETL pipelines
- Experience with experimental design and analysis
- Experience in building data products focused on risk and financial systems
- Experience thinking about user experience, marketplace dynamics and complex systems
- Experience with creating alignment with stakeholders in ambiguous and complex situations.
- Experience developing and deploying metric frameworks
Hybrid work at Stripe
This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).
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.
A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.