Chat with Stripe sales Data Science Manager, Growth Stripe logo Jobs Our opportunity Life at Stripe Benefits University See open roles Open mobile navigation Jobs Our opportunity Life at Stripe Benefits University See open roles Close mobile navigation Roles at Stripe Role details Data Science Manager, Growth 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 Growth Data Science The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams. What you’ll do Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. 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. 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 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. Preferred requirements 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 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 $210,900 - $316,300. 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. Office locations Toronto Remote locations Remote in United States Team Data & Data Science Job type Full time Apply for this role Please find our California applicant personal information notice here . The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark. We look forward to hearing from you At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. 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Launched out of Y Combinator’s 2009 Summer batch, Stripe is a global technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies—use our software to accept payments and manage their businesses online Stripe is a proud partner of YC companies—from Airbnb (S09) to Defog (W23)—to help them grow their businesses and increase the GDP of the internet.
Location
Remote
Experience
10+ years
