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The pool

Every open role, one list

4,480 live roles read straight from 4 job boards. 2,030 of them are remote.

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Field
Software1,546Data & AI445Design71Product166Sales722Marketing170Support145Operations317Finance127People65Legal87Other619
Source
Greenhouse3,284Ashby1,167Lever25Glints4
Board
stripe

43 roles

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  • S

    Data Analyst, Intern

    6d ago

    Stripe · Toronto

    Intern

    ETL · A/B Testing · Analytics · Spring Boot · SQL

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    PhD Data Scientist, Intern

6d ago

Stripe · Toronto

Intern

Machine Learning · ETL · Analytics · Python · Spring Boot +2

Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Data Analyst, Intern

    6d ago

    Stripe · New York, Seattle, South San Francisco HQ

    Intern

    ETL · A/B Testing · Analytics · Spring Boot · SQL

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    PhD Data Scientist, Intern

    6d ago

    Stripe · New York, Seattle, South San Francisco HQ

    Intern

    Machine Learning · ETL · Analytics · Python · Spring Boot +2

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Strategy and Operations Analyst, Customer Success

    7d ago

    Stripe · London

    Mid

    Cross-functional Collaboration · Customer Success · Analytics · Business Intelligence · Salesforce +1

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Security GRC Analyst/Program Manager, Bridge

    8d ago

    Stripe · New York

    Lead

    Incident Response · Scalability · Application Security · Swift

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Machine Learning Engineer, Growth Platform

    9d ago

    Stripe · San Francisco

    Mid

    Recommender Systems · Machine Learning · UX · A/B Testing · scikit-learn +8

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Data Analyst, Global Growth

    12d ago

    Stripe · Singapore

    Mid

    Machine Learning · Cross-functional Collaboration · ETL · Code Review · Financial Modeling +5

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Risk Operations Analyst - SSO

    15d ago

    Stripe · Remote

    RemoteRemote country eligibility unknownMid

    Cross-functional Collaboration · UX · Scalability · SSO

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Data Scientist

    15d ago

    Stripe · Seattle, WA

    Mid

    Analytics · Product Management · Python · SQL

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    AI Solutions Program Manager, Finance

    16d ago

    Stripe · SEA, SF, NYC, CHI

    Lead

    Business Intelligence · Project Management · Git · ETL · Observability +7

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Machine Learning Engineer, Link

    16d ago

    Stripe · New York City

    Mid

    Machine Learning · A/B Testing · ETL · Python · Spark +1

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Third Party Risk Analyst

    23d ago

    Stripe · Bengaluru

    Mid

    Cross-functional Collaboration · Business Intelligence · Scalability

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    GTM Strategy & Operations Analyst

    23d ago

    Stripe · NYC, SF, Seattle, US

    Mid

    Cross-functional Collaboration · Analytics · Scalability · SQL

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    GTM Strategy & Operations Analyst

    23d ago

    Stripe · Dublin

    Mid

    Cross-functional Collaboration · Analytics · Scalability · SQL

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Data Analyst, NYC

    27d ago

    Stripe · New York

    Mid

    Business Intelligence · Cross-functional Collaboration · ETL · Data Modeling · Code Review +7

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Processing cost Analyst

    1mo ago

    Stripe · IN-Bengaluru

    Mid

    Cross-functional Collaboration · Business Intelligence · Python · Excel · SQL

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Data Excellence Manager

    1mo ago

    Stripe · US Remote, Chicago, SF, Seattle, NYC

    RemoteRemote country eligibility unknownLead

    Business Intelligence · Cross-functional Collaboration · Analytics · Product Management · SQL

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Staff Machine Learning Engineer, Financial Connections

    1mo ago

    Stripe · New York

    Lead

    Machine Learning · ETL · Deep Learning · Scalability · TensorFlow +4

    Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Senior Workday Analyst, Payroll

    2mo ago

    Stripe · US-REM

    Senior

    Cross-functional Collaboration · UX

    Greenhouse· Last observed unknown· Open status unconfirmed

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    Greenhouse

    Data Analyst, Intern

    Stripe · Toronto

    Apply on GreenhouseOpen full page
    Level
    Intern
    Where
    Toronto
    Posted
    6d ago
    Last seen on its board
    Unknown

    Skills in this posting

    • ETL
    • A/B Testing
    • Analytics
    • Spring Boot
    • SQL

    The posting

    Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works. About the team Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, 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. What you’ll do As an intern at Stripe you’ll work on projects across our stack that directly impact the way millions of businesses operate. You’ll own problems end to end with the support of your manager and teammates. It’s an opportunity to work alongside some of the most creative and technically rigorous data analysts and scientists in the industry. 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 build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling. Our internship program is competitive and the expectations are high. Responsibilities - Analyze data and running experiments to drive impact - Ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly - Create metrics, reports, and dashboards to inform and run the business - Extend Stripe’s metrics semantic layer - Build new data assets and improve existing data assets to support decision-making, products, and business processes - Assess the impact of decisions, product launches, and product improvements using business analytics and A/B testing - Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly - Present your work to the Data Science team, partner teams, and fellow interns Who you are - Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty. - Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before. - Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus. Minimum requirements - Enrolled in a quantitative Bachelor’s or Master's degree program (e.g. Data Analytics, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028 - Experience with SQL - Proficiency with AI tools to accelerate model development, analysis, and coding - Experience communicating and collaborating with multidisciplinary stakeholders in a team environment Preferred qualifications - Experience writing and debugging data pipelines - Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects - Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

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