{"schemaVersion":"jobsearcher.job.v1","id":"fdf9d3527013ef2cfa2c95f2","url":"https://jobsearcher.com/jobs/fdf9d3527013ef2cfa2c95f2","canonicalUrl":"https://jobsearcher.com/jobs/fdf9d3527013ef2cfa2c95f2","title":"Data Scientist, Core Infrastructure","description":"Who we are\r\nAbout Stripe\r\nStripe 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.\r\nAbout the team\r\nYou'll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to:\r\nDeveloping models to predict resource needs as Stripe demand increases;\r\nWorking closely with engineers to improve the cost and performance of platforms and services;\r\nEmploying quantitative methods to drive and automate fleet decisions.\r\nYou will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows.\r\nWhat you'll do\r\nAs a Data Scientist, your role will involve:\r\nAnalyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning.\r\nDeveloping models and strategies for efficient compute resource consumption and provisioning.\r\nCollaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions.\r\nProviding actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability.\r\nUtilizing your analytical expertise to influence both technical and financial strategies within Stripe.\r\nWho you are\r\nWe'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.\r\nMinimum requirements\r\nPhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.\r\n3-8+ years of experience with a focus on infrastructure, cloud environments, and resource utilization/allocation.\r\nProficiency in SQL and a computing language such as Python or R.\r\nExperience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering.\r\nAbility to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results.\r\nA demonstrated ability to manage and deliver on multiple projects with a high attention to detail.\r\nSolid business acumen and experience in synthesizing complex analyses into actionable recommendations.\r\nA track record of building relationships with and influencing the decisions of senior technical leadership.\r\nA builder's mindset with a willingness to question assumptions and conventional wisdom.\r\nPreferred qualifications\r\nBackground in deploying data models in production environments and optimizing their performance.\r\nExperience in using, deploying on, and analyzing usage data from public cloud providers.\r\nFamiliarity with distributed computing tools such as Spark and Hadoop.\r\nA PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics, Operations Research, Industrial Engineering, Management Science, or related disciplines.\r\nStrong business acumen with a track record of translating complex data analyses into actionable business recommendations.\r\nLocation Preference\r\nSan Francisco, CA or Seattle, WA.\r\nJ-18808-Ljbffr","company":"Stripe","rawCompany":"stripe","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:34:13.825Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist, Core Infrastructure","description":"Who we are\r\nAbout Stripe\r\nStripe 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.\r\nAbout the team\r\nYou'll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to:\r\nDeveloping models to predict resource needs as Stripe demand increases;\r\nWorking closely with engineers to improve the cost and performance of platforms and services;\r\nEmploying quantitative methods to drive and automate fleet decisions.\r\nYou will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows.\r\nWhat you'll do\r\nAs a Data Scientist, your role will involve:\r\nAnalyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning.\r\nDeveloping models and strategies for efficient compute resource consumption and provisioning.\r\nCollaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions.\r\nProviding actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability.\r\nUtilizing your analytical expertise to influence both technical and financial strategies within Stripe.\r\nWho you are\r\nWe'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.\r\nMinimum requirements\r\nPhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.\r\n3-8+ years of experience with a focus on infrastructure, cloud environments, and resource utilization/allocation.\r\nProficiency in SQL and a computing language such as Python or R.\r\nExperience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering.\r\nAbility to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results.\r\nA demonstrated ability to manage and deliver on multiple projects with a high attention to detail.\r\nSolid business acumen and experience in synthesizing complex analyses into actionable recommendations.\r\nA track record of building relationships with and influencing the decisions of senior technical leadership.\r\nA builder's mindset with a willingness to question assumptions and conventional wisdom.\r\nPreferred qualifications\r\nBackground in deploying data models in production environments and optimizing their performance.\r\nExperience in using, deploying on, and analyzing usage data from public cloud providers.\r\nFamiliarity with distributed computing tools such as Spark and Hadoop.\r\nA PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics, Operations Research, Industrial Engineering, Management Science, or related disciplines.\r\nStrong business acumen with a track record of translating complex data analyses into actionable business recommendations.\r\nLocation Preference\r\nSan Francisco, CA or Seattle, WA.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:34:13.825Z","dateModified":"2026-08-08T01:34:13.825Z","hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fdf9d3527013ef2cfa2c95f2"},"url":"https://jobsearcher.com/jobs/fdf9d3527013ef2cfa2c95f2"}}