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Über

Data Science Role at 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. Data Science at Stripe is a vibrant community where data analysts, data scientists, and engineers learn and grow together. You'll work with some of Stripe's most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll also work with leaders to translate business needs into data problems. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business insights through analyses and data storytelling. Responsibilities
Work with Treasury Finance, Finance & Strategy, Risk and Engineering to build out analytics and observability framework for Stripe's financial position Investigate macro signals and build analytical frameworks that inform financial planning and strategic decisions Develop targeted observability and performance analytics for both standard and event-driven environments, providing key insights to senior leadership on Stripe's business position as macro/market conditions shift Understand and leverage Stripe's data assets to analyze financial performance and develop scalable data foundations for existing and emerging analytical needs Work with heterogeneous and unstructured data to develop insights and recommendations Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure that serve business needs Support ongoing reporting, stakeholder communications, and information requests across Treasury Finance and Finance & Strategy 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:
Must be located in New York or willing to relocate as this role is hybrid 3–6 years of experience in Data Research & Analysis, Risk Modeling & Analysis roles, Business Intelligence and Data Engineering, building data pipelines and analyzing large datasets to solve problems Proficiency in SQL and Python Strong statistical knowledge and business intuition Ability to clearly communicate results and drive impact Experience in analytics in FinTech, banking, investment management, corporate finance, treasury, or financial services Expertise in visualization and using data insights to make recommendations and achieve goals Proven ability to manage and deliver on multiple concurrent projects with strong attention to detail Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights Proficiency with AI tools to accelerate model development, analysis, and coding Preferred qualifications:
Master's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field Prior experience at a growth-stage internet or FinTech company Prior experience in macro analytics, corporate finance, financial planning, and portfolio management Familiarity with financial and accounting data, time-series data, macroeconomic analysis or economic indicator development Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines Good understanding of development processes and best practices like engineering standards, code reviews, and testing Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual US base salary range for this role is $134,000 - $242,400. 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 New York, South San Francisco HQ, or Seattle Team Data & Data Science Job type Full time
  • United States

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  • English
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