# Staff Data Scientist

**Company**: Stripe
**Location**: N/A
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/7568328
**Canonical**: https://yubhub.co/jobs/job_8aceb903-d3d

## Description

You will join the part of Stripe's data science organization that focuses on Growth and Go-to-Market efforts.

As a Staff Data Scientist, you will be a key strategic partner to the Growth (Product and Engineering), Marketing, Sales, and Finance & Strategy teams, developing both intelligent data products and insights, and creating end-to-end systems and measurement plans for accelerating Stripe's overall growth engine.

Responsibilities:

- Provide direction to cross-functional partners on business strategy for enabling Stripe's growth, leveraging your expertise in causal inference / experimentation, modeling, analytical insights, and data foundations.

- Provide senior technical direction to data teams on horizontal technical areas, including experimentation, attribution, forecasting, observability, etc.; assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution.

- Identify broad company problems and opportunities that can be tackled through data science; work with relevant teams to design and build the data science outputs that deliver outsized value to our users and our business.

- Contribute to the overall strategy, roadmap, and vision of your data science team and organization.

- 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.

Minimum requirements:

- 10+ years of data science experience OR equivalent combined industry and research experience in a quantitative field.

- B.S. / M.S. / Ph.D. in a quantitative field (e.g. Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, Engineering, etc.).

- Experience with modern causal inference techniques.

- 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.

- Experience creating alignment with stakeholders in ambiguous and complex situations.

- Demonstrated ability to balance execution and velocity with research, statistical depth, and scalable design.

- Experience, mentoring, and investing in the development of peers.

## Skills

### Required
- causal inference
- experimentation
- modeling
- analytical insights
- data foundations
- modern causal inference techniques
- leadership
- cross-functional collaboration
- stakeholder alignment
- execution and velocity
- research and statistical depth
- scalable design