Data Science Manager, Growth

Stripe • North Bend, WA

9h

About The Position

Stripe is a financial infrastructure platform for businesses, enabling millions of companies, from large enterprises to ambitious startups, to accept payments, grow revenue, and accelerate new business opportunities. The company's mission is to increase the GDP of the internet. The Growth Data Science team focuses on helping businesses on Stripe get started quickly and effectively, optimizing every step of the user journey from awareness and acquisition through product adoption, usage growth, and retention. This team is recognized for its expertise in experimentation, causal analysis, cumulative impact measurement, and developing a deep understanding of the user journey to inform the product roadmap. They collaborate closely with Growth Product and Engineering, as well as Sales, Marketing, Developer Platform, Support, and Risk teams. Data Science Managers at Stripe are responsible for their team's success, which involves deep engagement in modeling and design processes, coaching, mentoring, and leading the team. They are expected to have a strong understanding of how to drive efficient data science teams and maintain a user-focused approach, working with data scientists, analysts, and engineers to create technical solutions and communicate effectively across teams and senior leadership.

Requirements

• A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering).
• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You have demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and verbally.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.

Nice To Haves

• You are comfortable working with geographically distributed teams
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures

Responsibilities

• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team
• Contribute to broad data science initiatives as a member of Stripe’s data science management team.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees