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Summer Causal Inference Jobs (NOW HIRING)

Stripe

PhD Data Scientist, Intern

San Francisco, CA · On-site

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... or spring/summer 2027 * Experience with a scientific computing language (such as Python, R, etc ...

Stripe

PhD Data Scientist, Intern

San Francisco, CA

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... or spring/summer 2027 * Experience with a scientific computing language (such as Python, R, etc ...

Stripe

PhD Data Scientist, Intern

Seattle, WA

$143K - $156K/yr

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... summer 2027 * Experience with a scientific computing language (such as Python, R, etc) and SQL. We ...

Stripe

PhD Data Scientist, Intern

Manhattan, NY

$143K - $156K/yr

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... summer 2027 * Experience with a scientific computing language (such as Python, R, etc) and SQL. We ...

Stripe

PhD Data Scientist, Intern

Chicago, IL

$143K - $156K/yr

Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure ... summer 2027 * Experience with a scientific computing language (such as Python, R, etc) and SQL. We ...

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Data Analyst

Manhattan, NY

Design, execute, and interpret experiments (e.g., A/B testing, causal inference methods) to ... Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and ...

Unity

Intern, Research Science

Mountain View, CA · On-site

$46 - $58/hr

The opportunity This summer, you'll join one of Unity's most consequential teams -- Vector AI -- as ... Familiarity with causal inference methods such as A/B testing or uplift modeling. * Genuine ...

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Data Analyst

Manhattan, NY · On-site

$70K - $90K/yr

Design, execute, and interpret experiments (e.g., A/B testing, causal inference methods) to ... Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and ...

SCAN

Data Scientist, Summer Intern

Long Beach, CA

... g., causal inference or large language models) across multiple relevant use cases. This role is ... This 8 week summer internship runs from June 22 through August 14, with a possible extension based ...

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How much do summer causal inference jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for summer causal inference in the United States is $17.40, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $20.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Summer Causal Inference Researcher, and why are they important?

To thrive as a Summer Causal Inference Researcher, you need a solid background in statistics, econometrics, and data analysis, typically supported by coursework or a degree in a quantitative field. Familiarity with statistical programming languages like R or Python and experience using tools such as STATA or MATLAB are often required. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These skills and qualities are crucial for accurately identifying causal relationships in data and effectively collaborating within interdisciplinary research teams.

What types of projects and methodologies can I expect to work on as a Summer Causal Inference intern?

As a Summer Causal Inference intern, you'll typically work on projects involving the design and analysis of experiments or observational studies to determine cause-and-effect relationships. You may use methodologies such as propensity score matching, difference-in-differences, instrumental variables, or regression discontinuity designs. Collaboration with data scientists, economists, and business stakeholders is common, as you'll help translate findings into actionable insights. Expect to handle real-world datasets and communicate your results through presentations or reports, gaining valuable experience in both technical and applied aspects of causal inference.

What is a Summer Causal Inference position?

A Summer Causal Inference position is typically a short-term research or internship role focused on applying statistical methods to determine causal relationships between variables, often in fields like economics, public policy, or data science. Individuals in this position work on projects that require designing experiments or analyzing observational data to infer causality rather than just correlation. The role is ideal for students or early-career professionals seeking hands-on experience in causal inference techniques during the summer months.
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What cities are hiring for Summer Causal Inference jobs? Cities with the most Summer Causal Inference job openings:
What are the most commonly searched types of Causal Inference jobs? The most popular types of Causal Inference jobs are:
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What job categories do people searching Summer Causal Inference jobs look for? The top searched job categories for Summer Causal Inference jobs are:
Summer Causal Inference jobs near you
Infographic showing various Summer Causal Inference job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 34% Full Time, 34% Part Time, 2% Nights, and 28% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $36,200 per year, or $17.4 per hour.
PhD Data Scientist, Intern

PhD Data Scientist, Intern

Stripe

San Francisco, CA • On-site

Internship

Posted 3 days ago

Job description

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
Our Data Science team partners 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. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you'll do
About the internship experience
Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.
Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.
We're not just focused on your immediate contributions; we're invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.
Responsibilities
You will:
  • Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
  • Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
  • Influence business actions and strategy by developing actionable insights through metrics and dashboards.
  • Drive the collection of new data and the refinement of existing data sources.
  • 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
Minimum requirements
We're looking for someone who has:
  • Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
  • Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
  • Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
  • Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
Preferred qualifications
You also likely have:
  • 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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