Staff Data Scientist, Growth
Stripe · United States
- Hybrid
- Full-time
- $250,000 / year
- United States
Job highlights
- Lead data science for growth and go-to-market.
- Drive strategy with cross-functional partners.
- Provide senior technical data direction.
- Identify and solve company problems with data.
- Mentor data science talent.
About the role
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
You'll be joining the part of Stripe's data science organization that focuses on Growth and Go-to-Market efforts. Sample projects include, but are not limited to:
- Leveraging a wide variety of tools such as experimentation, forecasting, personalization, and algorithmic recommendations to enable businesses to accelerate their journey to accept payments on Stripe, and find additional Stripe financial products that they need to grow their business.
- Delivering comprehensive ROI analysis for Stripe's growth marketing spend through rigorous measurement methodologies (marketing mix models, multi-touch attribution, lifetime value, long-term holdouts, etc.).
You'll be a key strategic partner to the Growth (Product and Engineering), Marketing, Sales, and Finance and 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.
What you'll do
Responsibilities
- Provide direction to cross-functional partners on business strategy for enabling Stripe's growth, leveraging your expertise in causal inference and 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.
Who you are
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 industry and research experience in a quantitative field.
- B.S., M.S., or 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.
- Proficiency with AI tools to accelerate model development, analysis, and coding.
Preferred Qualifications
- Strong preference for experience working with Growth, Marketing Measurement, or Sales Automation teams.
- Experience in the end-to-end development and production implementation of machine learning, statistical, or forecasting frameworks (beyond building model prototypes).
- Experience developing and deploying metrics and observability frameworks.
Hybrid work at Stripe
This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
In-office expectations
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.
Working remotely at Stripe
A remote location 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 live or plan to live.
Pay and benefits
The annual US base salary range for this role is $205,400 - $308,000. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Hybrid work at Stripe
This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
In-office expectations
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.
Working remotely at Stripe
A remote location 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 live or plan to live.
Key skills/competency
- Data Science
- Growth
- Causal Inference
- Experimentation
- Machine Learning
- Forecasting
- Marketing Measurement
- Sales Automation
- AI Tools
- Technical Leadership
Skills & topics
- Data Scientist
- Growth
- Go-to-Market
- Causal Inference
- Experimentation
- Machine Learning
- Forecasting
- Marketing Measurement
- AI
- Technical Leadership
How to get hired
- Tailor your resume: Highlight 10+ years of data science experience, quantitative field degrees, and causal inference expertise.
- Showcase leadership: Emphasize experience leading organization-wide initiatives and influencing roadmaps.
- Demonstrate collaboration: Provide examples of effectively working with diverse stakeholders to achieve outcomes.
- Prepare for technical interviews: Be ready to discuss experimentation, attribution, forecasting, and AI tools.
- Understand the hybrid model: Be aware of the 50% in-office expectation for hybrid roles.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Staff Data Scientist, Growth at Stripe?
- As a Staff Data Scientist, Growth at Stripe, you will provide strategic direction to cross-functional partners, lead technical initiatives in areas like experimentation and forecasting, identify and solve complex business problems using data science, and mentor junior data scientists. You will also contribute to the overall strategy and vision of the data science team.
- What are the minimum qualifications for the Staff Data Scientist, Growth role at Stripe?
- Minimum qualifications include 10+ years of data science experience or equivalent, a B.S., M.S., or Ph.D. in a quantitative field, experience with modern causal inference techniques, demonstrated leadership in organization-wide initiatives, strong collaboration skills, and proficiency with AI tools for model development and analysis.
- Does Stripe offer remote work options for the Staff Data Scientist, Growth position?
- Yes, this role is available in an office or a remote location. A remote location is defined as being 35 miles or more from a Stripe office. In-office employees are expected to spend at least 50% of their time in the local office.
- What is the salary range for a Staff Data Scientist, Growth at Stripe in the US?
- The annual US base salary range for this role is $205,400 - $308,000. This range may be adjusted based on factors like experience, qualifications, and location. Additional benefits such as equity, bonuses, and health insurance are also provided.
- How does Stripe approach hybrid work for its employees, including this Data Scientist role?
- Stripe embraces a hybrid work model. Employees designated as 'office-assigned' are expected to spend at least 50% of their time in the office each month, balancing in-person collaboration with flexibility. Remote employees are those located 35+ miles from an office and primarily work from home.
- What kind of projects can I expect as a Staff Data Scientist, Growth at Stripe?
- You can expect to work on projects leveraging experimentation, forecasting, personalization, and algorithmic recommendations to help businesses accelerate payments and find new products. You will also conduct ROI analysis for marketing spend using methodologies like marketing mix models and multi-touch attribution.
- What are the preferred qualifications for a Staff Data Scientist, Growth at Stripe?
- Preferred qualifications include experience with Growth, Marketing Measurement, or Sales Automation teams, as well as experience in the end-to-end development and production implementation of machine learning, statistical, or forecasting frameworks, and deploying metrics and observability frameworks.