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Home›Jobs›Stripe›PhD Data Scientist, Intern
Stripe

About Stripe

The financial infrastructure platform for modern businesses

🏢 Tech, Finance👥 1001+ employees📅 Founded 2010📍 SoMa, San Francisco, CA💰 $8.7b⭐ 3.5
FintechB2BPaymentsCredit cardsFinancial Services

Key Highlights

  • Processes over $1 trillion in payments annually
  • Raised $8.7 billion in funding, including Series H
  • Headquartered in SoMa, San Francisco, CA
  • Expanding services to Brazil and India

Stripe is a leading financial infrastructure platform that processes over $1 trillion in payments annually for businesses of all sizes, from startups to Fortune 500 companies. Headquartered in SoMa, San Francisco, Stripe has raised $8.7 billion in funding across multiple rounds, including its recent...

🎁 Benefits

Stripe offers an unlimited paid time off policy, flexible work-from-home opportunities, comprehensive mental and physical health plans, and generous f...

🌟 Culture

Stripe fosters a culture focused on innovation and growth, with a commitment to expanding its services globally. The company emphasizes engineering ex...

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Stripe

PhD Data Scientist, Intern

Stripe • Toronto, Ontario, Canada

Posted 1d agoEntry-LevelData scientist📍 Toronto
Apply Now →

Skills & Technologies

PythonSQLMachine learningStatistical modeling

Overview

Stripe is hiring a PhD Data Scientist Intern to analyze data and build machine learning models. You'll work with Python and SQL to drive impactful insights for the business. This internship is designed for entry-level candidates with a passion for data science.

Job Description

Who you are

You are an aspiring data scientist with a strong academic background, ideally pursuing a PhD in a quantitative field. You have experience with Python and SQL, and you are eager to apply your knowledge to real-world problems. You possess a solid understanding of machine learning and statistical modeling, and you are excited about the opportunity to analyze data and build models that drive business impact. You are a collaborative team player who enjoys working with others to solve complex challenges and are open to feedback and learning from experienced mentors.

Desirable

Experience with data visualization tools and frameworks is a plus, as is familiarity with data analysis libraries such as Pandas and NumPy. You may have participated in internships or projects that involved running experiments or analyzing user behavior, which will help you thrive in this role. A passion for the financial technology sector and an understanding of how data can influence business decisions will set you apart.

What you'll do

As a Data Scientist Intern at Stripe, you will work closely with various teams to analyze data and provide insights that inform product development and business strategy. You will be responsible for building machine learning models and statistical analyses that help optimize user experiences and drive growth. Your work will involve running experiments to test hypotheses and validate assumptions, ensuring that data-driven decisions are made across the organization. You will collaborate with engineers and product managers to understand user needs and translate them into actionable insights.

You will also have the opportunity to present your findings to stakeholders, helping to shape the direction of Stripe's products and services. Throughout your internship, you will receive mentorship and guidance from experienced data scientists, allowing you to grow your skills and knowledge in the field. This role is designed to provide you with hands-on experience in data science, preparing you for a successful career in the industry.

What we offer

Stripe offers a dynamic internship program that provides meaningful work experience and the chance to contribute to impactful projects. You will have access to a supportive team and resources that foster your professional development. The internship is based in Toronto, Ontario, and is designed for summer 2026. You will gain valuable insights into the financial technology industry and have the opportunity to network with professionals in the field. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

Interested in this role?

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