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Summer Causal Inference Jobs (NOW HIRING)

Smadex SLU

Senior Product Manager

New York, NY · On-site

$138K - $182K/yr

This is a builder role for someone who is comfortable reasoning about causal inference ... Summer Fridays & Team building events Powered by JazzHR YOLpoBk9wz

Smadex

Senior Product Manager

Austin, TX

$125K - $165K/yr

This is a builder role for someone who is comfortable reasoning about causal inference ... Summer Fridays & Team building events

adMarketplace

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 ...

Upstart

Principal Applied Scientist

Working knowledge of causal inference or causal machine learning * Strong grounding in statistics ... Summer 2026!) For roles based in Canada, please note that we are not currently able to hire in ...

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Summer Causal Inference information

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$11

$17

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How much do summer causal inference jobs pay per hour?

As of Aug 6, 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 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 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 is a summer causal inference?

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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Summer Causal Inference jobs near you
Infographic showing various Summer Causal Inference job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 72% Full Time, 8% Part Time, 1% Contract, and 18% Summer. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $36,200 per year, or $17.4 per hour.

Business and Marketing Data Scientist

Google

Mountain View, CA • On-site

Full-time

Posted 8 days ago

Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

Minimum qualifications:
  • PhD degree in Economics, Statistics, Biostatistics or a related field, and experience in the job offered or in a Business and Marketing Data Scientist-related occupation.
  • Position requires experience in the following: Causal inference; Bayesian statistics; Machine Learning; R or Python; and SQL.

About the job
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.
As a Business Data Scientist on the YouTube Business Go-To-Market Impact Measurement team, you will work closely with business leaders to help shape the future of YouTube. You will leverage rigorous techniques from causal inference, advanced statistical modeling, and machine learning. It will be your responsibility to determine the best approach for solving problems and to communicate clearly with decision-makers who may or may not have a strong technical background.
We are looking for a detail-oriented problem solver with broad knowledge of causal inference, Bayesian statistics, and machine learning. We use a large set of methodologies, ranging from experimental to observational techniques, touching on a broad range of problems from different functional and product areas. The ideal candidate is comfortable wearing multiple hats and is passionate about conducting causal studies and helping stakeholders implement data-driven decisions. Creative problem-solving and stakeholder management skills are critical.
Given the nature of the position, someone who loves to learn new things will be successful. Effective data scientists on our team keep up with advances in the causal inference literature. When existing methodologies are not well suited for the problem at hand, you will be encouraged to develop new methods in collaboration with your teammates and work with our summer interns on research projects. We also attend relevant conferences and organize internal events to keep our toolkit updated and to educate the broader Google community.
The US base salary range for this full-time position is $177,550 - $198,000 15% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .
Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.
Responsibilities
  • Design and execute causal studies to address critical business questions.
  • Leverage advanced statistical models to find business insights in experimental and observational data.
  • Present and communicate actionable insights and recommendations to executives and cross-functional partners.
  • Serve as a peer reviewer and consultant for causal studies across the organization.
  • Stay current with the latest advancements in causal inference.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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